import{S as st,i as rt,s as pt,e as n,k as b,w as H,t as o,M as mt,c as s,d as i,m as g,a as p,x as Y,h as l,b as r,G as t,g as m,y as q,q as z,o as O,B as K,v as ft}from"../../chunks/vendor-hf-doc-builder.js";import{T as ct}from"../../chunks/Tip-hf-doc-builder.js";import{I as ut}from"../../chunks/IconCopyLink-hf-doc-builder.js";import{C as nt}from"../../chunks/CodeBlock-hf-doc-builder.js";import{D as dt}from"../../chunks/DocNotebookDropdown-hf-doc-builder.js";function ht(ee){let f,_;return{c(){f=n("p"),_=o("\u{1F512} By loading a community pipeline from the Hugging Face Hub, you are trusting that the code you are loading is safe. Make sure to inspect the code online before loading and running it automatically!")},l(c){f=s(c,"P",{});var u=p(f);_=l(u,"\u{1F512} By loading a community pipeline from the Hugging Face Hub, you are trusting that the code you are loading is safe. Make sure to inspect the code online before loading and running it automatically!"),u.forEach(i)},m(c,u){m(c,f,u),t(f,_)},d(c){c&&i(f)}}}function yt(ee){let f,_,c,u,X,$,ce,L,ue,te,k,ie,d,de,V,he,ye,N,be,ge,C,we,_e,oe,h,ve,E,Je,Te,U,Me,Ze,I,$e,ke,le,y,Ce,A,Ee,Ue,x,F,Ie,xe,G,Q,Ge,We,ae,v,ne,W,se,J,Be,B,Pe,Se,re,P,pe,w,Ve,R,Ne,Re,D,De,je,me;return $=new ut({}),k=new dt({props:{classNames:"absolute z-10 right-0 top-0",options:[{label:"Mixed",value:"https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers_doc/en/custom_pipeline_overview.ipynb"},{label:"PyTorch",value:"https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers_doc/en/pytorch/custom_pipeline_overview.ipynb"},{label:"TensorFlow",value:"https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers_doc/en/tensorflow/custom_pipeline_overview.ipynb"},{label:"Mixed",value:"https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/diffusers_doc/en/custom_pipeline_overview.ipynb"},{label:"PyTorch",value:"https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/diffusers_doc/en/pytorch/custom_pipeline_overview.ipynb"},{label:"TensorFlow",value:"https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/diffusers_doc/en/tensorflow/custom_pipeline_overview.ipynb"}]}}),v=new ct({props:{warning:!0,$$slots:{default:[ht]},$$scope:{ctx:ee}}}),W=new nt({props:{code:"ZnJvbSUyMGRpZmZ1c2VycyUyMGltcG9ydCUyMERpZmZ1c2lvblBpcGVsaW5lJTBBJTBBcGlwZWxpbmUlMjAlM0QlMjBEaWZmdXNpb25QaXBlbGluZS5mcm9tX3ByZXRyYWluZWQoJTBBJTIwJTIwJTIwJTIwJTIyZ29vZ2xlJTJGZGRwbS1jaWZhcjEwLTMyJTIyJTJDJTIwY3VzdG9tX3BpcGVsaW5lJTNEJTIyaGYtaW50ZXJuYWwtdGVzdGluZyUyRmRpZmZ1c2Vycy1kdW1teS1waXBlbGluZSUyMiUwQSk=",highlighted:`<span class="hljs-keyword">from</span> diffusers <span class="hljs-keyword">import</span> DiffusionPipeline

pipeline = DiffusionPipeline.from_pretrained(
    <span class="hljs-string">&quot;google/ddpm-cifar10-32&quot;</span>, custom_pipeline=<span class="hljs-string">&quot;hf-internal-testing/diffusers-dummy-pipeline&quot;</span>
)`}}),P=new nt({props:{code:"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",highlighted:`<span class="hljs-keyword">from</span> diffusers <span class="hljs-keyword">import</span> DiffusionPipeline
<span class="hljs-keyword">from</span> transformers <span class="hljs-keyword">import</span> CLIPImageProcessor, CLIPModel

clip_model_id = <span class="hljs-string">&quot;laion/CLIP-ViT-B-32-laion2B-s34B-b79K&quot;</span>

feature_extractor = CLIPImageProcessor.from_pretrained(clip_model_id)
clip_model = CLIPModel.from_pretrained(clip_model_id)

pipeline = DiffusionPipeline.from_pretrained(
    <span class="hljs-string">&quot;runwayml/stable-diffusion-v1-5&quot;</span>,
    custom_pipeline=<span class="hljs-string">&quot;clip_guided_stable_diffusion&quot;</span>,
    clip_model=clip_model,
    feature_extractor=feature_extractor,
)`}}),{c(){f=n("meta"),_=b(),c=n("h1"),u=n("a"),X=n("span"),H($.$$.fragment),ce=b(),L=n("span"),ue=o("Load community pipelines"),te=b(),H(k.$$.fragment),ie=b(),d=n("p"),de=o("Community pipelines are any "),V=n("a"),he=o("DiffusionPipeline"),ye=o(" class that are different from the original implementation as specified in their paper (for example, the "),N=n("a"),be=o("StableDiffusionControlNetPipeline"),ge=o(" corresponds to the "),C=n("a"),we=o("Text-to-Image Generation with ControlNet Conditioning"),_e=o(" paper). 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