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README.md

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+---
+title: Stable Diffusion 2.1
+emoji: 🎨
+colorFrom: blue
+colorTo: purple
+sdk: gradio
+sdk_version: 4.44.1
+app_file: app.py
+pinned: true
+license: mit
+---
+
+# Stable Diffusion 2.1 Image Generator
+
+This space demonstrates Stable Diffusion 2.1 for text-to-image generation.
+
+## Features
+- Generate images from text prompts
+- Safety filtering for inappropriate content
+- Share generated images to Hugging Face community
+- Mobile responsive interface
+
+## How to Use
+1. Enter a text prompt in the input box
+2. (Optional) Add negative prompts
+3. Click "Generate image" button
+4. Share your creations with the community

app.py

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+import gradio as gr
+from PIL import Image  
+import re
+import os
+import requests
+import uuid
+import base64 
+
+from share_btn import community_icon_html, loading_icon_html, share_js
+
+# Word list directly loaded from URL
+word_list_url = "https://huggingface.co/spaces/stabilityai/stable-diffusion/raw/main/list.txt"
+response = requests.get(word_list_url)
+word_list = response.text.splitlines()
+
+is_gpu_busy = False
+def infer(prompt, negative, scale):
+    global is_gpu_busy
+    for filter in word_list:
+        if re.search(rf"\b{filter}\b", prompt, re.IGNORECASE):
+            print(f"Filtered word detected: {filter}")
+            print(f"Prompt: {prompt}")
+            raise gr.Error("Unsafe content found. Please try again with different prompts.")
+        
+    images = []
+    url = os.getenv('JAX_BACKEND_URL')
+    if not url:
+        raise gr.Error("Backend URL is not configured. Please set JAX_BACKEND_URL environment variable.")
+    
+    print(f"Using backend URL: {url}")
+    payload = {
+        'prompt': prompt, 
+        'negative_prompt': negative, 
+        'guidance_scale': scale
+    }
+    
+    try:
+        images_request = requests.post(url, json=payload, timeout=60)
+        images_request.raise_for_status()
+        response_data = images_request.json()
+        
+        for image in response_data["images"]:
+            file_path = f"{uuid.uuid4()}.jpg"
+            with open(file_path, "wb") as f:
+                f.write(base64.b64decode(image))
+            images.append(file_path)
+            
+    except requests.exceptions.RequestException as e:
+        print(f"Backend request failed: {str(e)}")
+        raise gr.Error("Failed to connect to the image generation backend. Please try again later.")
+    except (KeyError, ValueError) as e:
+        print(f"Invalid response from backend: {str(e)}")
+        print(f"Response content: {images_request.text}")
+        raise gr.Error("Invalid response from image generation service. Please try again.")
+    
+    return images 
+
+css = """
+/* CSS remains unchanged from your original file */
+.gradio-container {
+    max-width: 768px !important;
+}
+.gradio-container {
+    font-family: 'IBM Plex Sans', sans-serif;
+}
+.gr-button {
+    color: white;
+    border-color: black;
+    background: black;
+}
+input[type='range'] {
+    accent-color: black;
+}
+.dark input[type='range'] {
+    accent-color: #dfdfdf;
+}
+.container {
+    max-width: 730px;
+    margin: auto;
+}
+#gallery {
+    min-height: 22rem;
+    margin-bottom: 15px;
+    margin-left: auto;
+    margin-right: auto;
+    border-bottom-right-radius: .5rem !important;
+    border-bottom-left-radius: .5rem !important;
+}
+#gallery>div>.h-full {
+    min-height: 20rem;
+}
+.details:hover {
+    text-decoration: underline;
+}
+.gr-button {
+    white-space: nowrap;
+}
+.gr-button:focus {
+    border-color: rgb(147 197 253 / var(--tw-border-opacity));
+    outline: none;
+    box-shadow: var(--tw-ring-offset-shadow), var(--tw-ring-shadow), var(--tw-shadow, 0 0 #0000);
+    --tw-border-opacity: 1;
+    --tw-ring-offset-shadow: var(--tw-ring-inset) 0 0 0 var(--tw-ring-offset-width) var(--tw-ring-offset-color);
+    --tw-ring-shadow: var(--tw-ring-inset) 0 0 0 calc(3px var(--tw-ring-offset-width)) var(--tw-ring-color);
+    --tw-ring-color: rgb(191 219 254 / var(--tw-ring-opacity));
+    --tw-ring-opacity: .5;
+}
+#advanced-btn {
+    font-size: .7rem !important;
+    line-height: 19px;
+    margin-top: 12px;
+    margin-bottom: 12px;
+    padding: 2px 8px;
+    border-radius: 14px !important;
+}
+#advanced-options {
+    display: none;
+    margin-bottom: 20px;
+}
+.footer {
+    margin-bottom: 45px;
+    margin-top: 35px;
+    text-align: center;
+    border-bottom: 1px solid #e5e5e5;
+}
+.footer>p {
+    font-size: .8rem;
+    display: inline-block;
+    padding: 0 10px;
+    transform: translateY(10px);
+    background: white;
+}
+.dark .footer {
+    border-color: #303030;
+}
+.dark .footer>p {
+    background: #0b0f19;
+}
+.acknowledgments h4{
+    margin: 1.25em 0 .25em 0;
+    font-weight: bold;
+    font-size: 115%;
+}
+.animate-spin {
+    animation: spin 1s linear infinite;
+}
+@keyframes spin {
+    from {
+        transform: rotate(0deg);
+    }
+    to {
+        transform: rotate(360deg);
+    }
+}
+#share-btn-container {
+    display: flex; padding-left: 0.5rem !important; padding-right: 0.5rem !important; background-color: #000000; justify-content: center; align-items: center; border-radius: 9999px !important; width: 13rem;
+    margin-top: 10px;
+    margin-left: auto;
+}
+#share-btn-container .styler{
+    background-color: #000000;
+}
+#share-btn {
+    all: initial; color: #ffffff;font-weight: 600; cursor:pointer; font-family: 'IBM Plex Sans', sans-serif; margin-left: 0.5rem !important; padding-top: 0.25rem !important; padding-bottom: 0.25rem !important;right:0;
+}
+#share-btn * {
+    all: unset;
+}
+#share-btn-container div:nth-child(-n+2){
+    width: auto !important;
+    min-height: 0px !important;
+}
+#share-btn-container .wrap {
+    display: none !important;
+}
+.gr-form{
+    flex: 1 1 50%; border-top-right-radius: 0; border-bottom-right-radius: 0;
+}
+#prompt-container{
+    gap: 0;
+}
+#prompt-text-input, #negative-prompt-text-input{padding: .45rem 0.625rem}
+#component-16{border-top-width: 1px!important;margin-top: 1em}
+.image_duplication{position: absolute; width: 100px; left: 50px}
+button{height: 100%}
+"""
+
+block = gr.Blocks(css=css)
+
+examples = [
+    [
+        'A high tech solarpunk utopia in the Amazon rainforest',
+        'low quality',
+        9
+    ],
+    [
+        'A pikachu fine dining with a view to the Eiffel Tower',
+        'low quality',
+        9
+    ],
+    [
+        'A mecha robot in a favela in expressionist style',
+        'low quality, 3d, photorealistic',
+        9
+    ],
+    [
+        'an insect robot preparing a delicious meal',
+        'low quality, illustration',
+        9
+    ],
+    [
+        "A small cabin on top of a snowy mountain in the style of Disney, artstation",
+        'low quality, ugly',
+        9
+    ],
+]
+
+with block:
+    gr.HTML(
+        """
+            <div style="text-align: center; margin: 0 auto;">
+              <div
+                style="
+                  display: inline-flex;
+                  align-items: center;
+                  gap: 0.8rem;
+                  font-size: 1.75rem;
+                "
+              >
+                <svg
+                  width="0.65em"
+                  height="0.65em"
+                  viewBox="0 0 115 115"
+                  fill="none"
+                  xmlns="http://www.w3.org/2000/svg"
+                >
+                  <rect width="23" height="23" fill="white"></rect>
+                  <rect y="69" width="23" height="23" fill="white"></rect>
+                  <rect x="23" width="23" height="23" fill="#AEAEAE"></rect>
+                  <rect x="23" y="69" width="23" height="23" fill="#AEAEAE"></rect>
+                  <rect x="46" width="23" height="23" fill="white"></rect>
+                  <rect x="46" y="69" width="23" height="23" fill="white"></rect>
+                  <rect x="69" width="23" height="23" fill="black"></rect>
+                  <rect x="69" y="69" width="23" height="23" fill="black"></rect>
+                  <rect x="92" width="23" height="23" fill="#D9D9D9"></rect>
+                  <rect x="92" y="69" width="23" height="23" fill="#AEAEAE"></rect>
+                  <rect x="115" y="46" width="23" height="23" fill="white"></rect>
+                  <rect x="115" y="115" width="23" height="23" fill="white"></rect>
+                  <rect x="115" y="69" width="23" height="23" fill="#D9D9D9"></rect>
+                  <rect x="92" y="46" width="23" height="23" fill="#AEAEAE"></rect>
+                  <rect x="92" y="115" width="23" height="23" fill="#AEAEAE"></rect>
+                  <rect x="92" y="69" width="23" height="23" fill="white"></rect>
+                  <rect x="69" y="46" width="23" height="23" fill="white"></rect>
+                  <rect x="69" y="115" width="23" height="23" fill="white"></rect>
+                  <rect x="69" y="69" width="23" height="23" fill="#D9D9D9"></rect>
+                  <rect x="46" y="46" width="23" height="23" fill="black"></rect>
+                  <rect x="46" y="115" width="23" height="23" fill="black"></rect>
+                  <rect x="46" y="69" width="23" height="23" fill="black"></rect>
+                  <rect x="23" y="46" width="23" height="23" fill="#D9D9D9"></rect>
+                  <rect x="23" y="115" width="23" height="23" fill="#AEAEAE"></rect>
+                  <rect x="23" y="69" width="23" height="23" fill="black"></rect>
+                </svg>
+                <h1 style="font-weight: 900; margin-bottom: 7px;margin-top:5px">
+                  Stable Diffusion 2.1 Demo
+                </h1>
+              </div>
+              <p style="margin-bottom: 10px; font-size: 94%; line-height: 23px;">
+                Stable Diffusion 2.1 is the latest text-to-image model from StabilityAI. <a style="text-decoration: underline;" href="https://huggingface.co/spaces/stabilityai/stable-diffusion-1">Access Stable Diffusion 1 Space here</a><br>For faster generation and API
+                access you can try
+                <a
+                  href="http://beta.dreamstudio.ai/"
+                  style="text-decoration: underline;"
+                  target="_blank"
+                  >DreamStudio Beta</a
+                >.</a>
+              </p>
+            </div>
+        """
+    )
+    with gr.Group():
+        with gr.Row(elem_id="prompt-container"):
+            with gr.Column(scale=3):
+                text = gr.Textbox(
+                    label="Enter your prompt",
+                    show_label=False,
+                    max_lines=1,
+                    placeholder="Enter your prompt",
+                    elem_id="prompt-text-input",
+                )
+                negative = gr.Textbox(
+                    label="Enter your negative prompt",
+                    show_label=False,
+                    max_lines=1,
+                    placeholder="Enter a negative prompt",
+                    elem_id="negative-prompt-text-input",
+                )
+            with gr.Column(scale=1, min_width=150):
+                btn = gr.Button("Generate image")
+
+        gallery = gr.Gallery(
+            label="Generated images", 
+            show_label=False, 
+            elem_id="gallery",
+            columns=[2],
+            height="auto"
+        )
+
+        with gr.Group(elem_id="container-advanced-btns"):
+            with gr.Group(elem_id="share-btn-container"):
+                community_icon = gr.HTML(community_icon_html)
+                loading_icon = gr.HTML(loading_icon_html)
+                share_button = gr.Button("Share to community", elem_id="share-btn")
+
+        with gr.Accordion("Advanced settings", open=False):
+             guidance_scale = gr.Slider(
+                label="Guidance Scale", 
+                minimum=0, 
+                maximum=50, 
+                value=9, 
+                step=0.1
+             )
+
+        ex = gr.Examples(
+            examples=examples, 
+            fn=infer, 
+            inputs=[text, negative, guidance_scale], 
+            outputs=[gallery], 
+            cache_examples=False
+        )
+        ex.dataset.headers = [""]
+        
+        negative.submit(infer, inputs=[text, negative, guidance_scale], outputs=[gallery])
+        text.submit(infer, inputs=[text, negative, guidance_scale], outputs=[gallery])
+        btn.click(infer, inputs=[text, negative, guidance_scale], outputs=[gallery])
+        
+        share_button.click(
+            None,
+            [],
+            [],
+            js=share_js,
+        )
+        gr.HTML(
+            """
+                <div class="footer">
+                    <p>Model by <a href="https://huggingface.co/stabilityai" style="text-decoration: underline;" target="_blank">StabilityAI</a> - backend running JAX on TPUs due to generous support of <a href="https://sites.research.google/trc/about/" style="text-decoration: underline;" target="_blank">Google TRC program</a> - Gradio Demo by 🤗 Hugging Face
+                    </p>
+                </div>
+           """
+        )
+        with gr.Accordion(label="License", open=False):
+            gr.HTML(
+                """<div class="acknowledgments">
+                    <p><h4>LICENSE</h4>
+The model is licensed with a <a href="https://huggingface.co/stabilityai/stable-diffusion-2/blob/main/LICENSE-MODEL" style="text-decoration: underline;" target="_blank">CreativeML OpenRAIL++</a> license. The authors claim no rights on the outputs you generate, you are free to use them and are accountable for their use which must not go against the provisions set in this license. The license forbids you from sharing any content that violates any laws, produce any harm to a person, disseminate any personal information that would be meant for harm, spread misinformation and target vulnerable groups. For the full list of restrictions please <a href="https://huggingface.co/spaces/CompVis/stable-diffusion-license" target="_blank" style="text-decoration: underline;" target="_blank">read the license</a></p>
+                    <p><h4>Biases and content acknowledgment</h4>
+Despite how impressive being able to turn text into image is, beware to the fact that this model may output content that reinforces or exacerbates societal biases, as well as realistic faces, pornography and violence. The model was trained on the <a href="https://laion.ai/blog/laion-5b/" style="text-decoration: underline;" target="_blank">LAION-5B dataset</a>, which scraped non-curated image-text-pairs from the internet (the exception being the removal of illegal content) and is meant for research purposes. You can read more in the <a href="https://huggingface.co/CompVis/stable-diffusion-v1-4" style="text-decoration: underline;" target="_blank">model card</a></p>
+               </div>
+                """
+            )
+
+block.queue(concurrency_count=5).launch(show_error=True, server_name="0.0.0.0", server_port=7860)

gitattributes.txt

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
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+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
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+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
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+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zstandard filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

requirements.txt

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+gradio>=4.0.0
+requests
+Pillow
+python-dotenv