Buckets:
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| <link rel="modulepreload" href="/docs/diffusers/pr_10083/en/_app/immutable/chunks/EditOnGithub.1e64e623.js"><!-- HEAD_svelte-u9bgzb_START --><meta name="hf:doc:metadata" content="{"title":"Stable Diffusion pipelines","local":"stable-diffusion-pipelines","sections":[{"title":"Tips","local":"tips","sections":[{"title":"Explore tradeoff between speed and quality","local":"explore-tradeoff-between-speed-and-quality","sections":[],"depth":3},{"title":"Reuse pipeline components to save memory","local":"reuse-pipeline-components-to-save-memory","sections":[],"depth":3},{"title":"Create web demos using gradio","local":"create-web-demos-using-gradio","sections":[],"depth":3}],"depth":2}],"depth":1}"><!-- HEAD_svelte-u9bgzb_END --> <p></p> <h1 class="relative group"><a id="stable-diffusion-pipelines" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#stable-diffusion-pipelines"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>Stable Diffusion pipelines</span></h1> <p data-svelte-h="svelte-s9e3v0">Stable Diffusion is a text-to-image latent diffusion model created by the researchers and engineers from <a href="https://github.com/CompVis" rel="nofollow">CompVis</a>, <a href="https://stability.ai/" rel="nofollow">Stability AI</a> and <a href="https://laion.ai/" rel="nofollow">LAION</a>. Latent diffusion applies the diffusion process over a lower dimensional latent space to reduce memory and compute complexity. This specific type of diffusion model was proposed in <a href="https://huggingface.co/papers/2112.10752" rel="nofollow">High-Resolution Image Synthesis with Latent Diffusion Models</a> by Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, Björn Ommer.</p> <p data-svelte-h="svelte-1uvrn1d">Stable Diffusion is trained on 512x512 images from a subset of the LAION-5B dataset. This model uses a frozen CLIP ViT-L/14 text encoder to condition the model on text prompts. With its 860M UNet and 123M text encoder, the model is relatively lightweight and can run on consumer GPUs.</p> <p data-svelte-h="svelte-xod3ql">For more details about how Stable Diffusion works and how it differs from the base latent diffusion model, take a look at the Stability AI <a href="https://stability.ai/blog/stable-diffusion-announcement" rel="nofollow">announcement</a> and our own <a href="https://huggingface.co/blog/stable_diffusion#how-does-stable-diffusion-work" rel="nofollow">blog post</a> for more technical details.</p> <p data-svelte-h="svelte-1nl1je7">You can find the original codebase for Stable Diffusion v1.0 at <a href="https://github.com/CompVis/stable-diffusion" rel="nofollow">CompVis/stable-diffusion</a> and Stable Diffusion v2.0 at <a href="https://github.com/Stability-AI/stablediffusion" rel="nofollow">Stability-AI/stablediffusion</a> as well as their original scripts for various tasks. Additional official checkpoints for the different Stable Diffusion versions and tasks can be found on the <a href="https://huggingface.co/CompVis" rel="nofollow">CompVis</a>, <a href="https://huggingface.co/runwayml" rel="nofollow">Runway</a>, and <a href="https://huggingface.co/stabilityai" rel="nofollow">Stability AI</a> Hub organizations. Explore these organizations to find the best checkpoint for your use-case!</p> <p data-svelte-h="svelte-1j9k8x2">The table below summarizes the available Stable Diffusion pipelines, their supported tasks, and an interactive demo:</p> <div class="flex justify-center" data-svelte-h="svelte-eyw1cv"><div class="rounded-xl border border-gray-200"><table class="min-w-full divide-y-2 divide-gray-200 bg-white text-sm"><thead><tr><th class="px-4 py-2 font-medium text-gray-900 text-left">Pipeline</th> <th class="px-4 py-2 font-medium text-gray-900 text-left">Supported tasks</th> <th class="px-4 py-2 font-medium text-gray-900 text-left">🤗 Space</th></tr></thead> <tbody class="divide-y divide-gray-200"><tr><td class="px-4 py-2 text-gray-700"><a href="./text2img">StableDiffusion</a></td> <td class="px-4 py-2 text-gray-700">text-to-image</td> <td class="px-4 py-2"><a href="https://huggingface.co/spaces/stabilityai/stable-diffusion"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue"></a></td></tr> <tr><td class="px-4 py-2 text-gray-700"><a href="./img2img">StableDiffusionImg2Img</a></td> <td class="px-4 py-2 text-gray-700">image-to-image</td> <td class="px-4 py-2"><a href="https://huggingface.co/spaces/huggingface/diffuse-the-rest"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue"></a></td></tr> <tr><td class="px-4 py-2 text-gray-700"><a href="./inpaint">StableDiffusionInpaint</a></td> <td class="px-4 py-2 text-gray-700">inpainting</td> <td class="px-4 py-2"><a href="https://huggingface.co/spaces/runwayml/stable-diffusion-inpainting"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue"></a></td></tr> <tr><td class="px-4 py-2 text-gray-700"><a href="./depth2img">StableDiffusionDepth2Img</a></td> <td class="px-4 py-2 text-gray-700">depth-to-image</td> <td class="px-4 py-2"><a href="https://huggingface.co/spaces/radames/stable-diffusion-depth2img"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue"></a></td></tr> <tr><td class="px-4 py-2 text-gray-700"><a href="./image_variation">StableDiffusionImageVariation</a></td> <td class="px-4 py-2 text-gray-700">image variation</td> <td class="px-4 py-2"><a href="https://huggingface.co/spaces/lambdalabs/stable-diffusion-image-variations"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue"></a></td></tr> <tr><td class="px-4 py-2 text-gray-700"><a href="./stable_diffusion_safe">StableDiffusionPipelineSafe</a></td> <td class="px-4 py-2 text-gray-700">filtered text-to-image</td> <td class="px-4 py-2"><a href="https://huggingface.co/spaces/AIML-TUDA/unsafe-vs-safe-stable-diffusion"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue"></a></td></tr> <tr><td class="px-4 py-2 text-gray-700"><a href="./stable_diffusion_2">StableDiffusion2</a></td> <td class="px-4 py-2 text-gray-700">text-to-image, inpainting, depth-to-image, super-resolution</td> <td class="px-4 py-2"><a href="https://huggingface.co/spaces/stabilityai/stable-diffusion"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue"></a></td></tr> <tr><td class="px-4 py-2 text-gray-700"><a href="./stable_diffusion_xl">StableDiffusionXL</a></td> <td class="px-4 py-2 text-gray-700">text-to-image, image-to-image</td> <td class="px-4 py-2"><a href="https://huggingface.co/spaces/RamAnanth1/stable-diffusion-xl"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue"></a></td></tr> <tr><td class="px-4 py-2 text-gray-700"><a href="./latent_upscale">StableDiffusionLatentUpscale</a></td> <td class="px-4 py-2 text-gray-700">super-resolution</td> <td class="px-4 py-2"><a href="https://huggingface.co/spaces/huggingface-projects/stable-diffusion-latent-upscaler"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue"></a></td></tr> <tr><td class="px-4 py-2 text-gray-700"><a href="./upscale">StableDiffusionUpscale</a></td> <td class="px-4 py-2 text-gray-700">super-resolution</td></tr> <tr><td class="px-4 py-2 text-gray-700"><a href="./ldm3d_diffusion">StableDiffusionLDM3D</a></td> <td class="px-4 py-2 text-gray-700">text-to-rgb, text-to-depth, text-to-pano</td> <td class="px-4 py-2"><a href="https://huggingface.co/spaces/r23/ldm3d-space"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue"></a></td></tr> <tr><td class="px-4 py-2 text-gray-700"><a href="./ldm3d_diffusion">StableDiffusionUpscaleLDM3D</a></td> <td class="px-4 py-2 text-gray-700">ldm3d super-resolution</td></tr></tbody></table></div></div> <h2 class="relative group"><a id="tips" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#tips"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>Tips</span></h2> <p data-svelte-h="svelte-1u5hutj">To help you get the most out of the Stable Diffusion pipelines, here are a few tips for improving performance and usability. These tips are applicable to all Stable Diffusion pipelines.</p> <h3 class="relative group"><a id="explore-tradeoff-between-speed-and-quality" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#explore-tradeoff-between-speed-and-quality"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>Explore tradeoff between speed and quality</span></h3> <p data-svelte-h="svelte-1wp9vaz"><a href="/docs/diffusers/pr_10083/en/api/pipelines/stable_diffusion/text2img#diffusers.StableDiffusionPipeline">StableDiffusionPipeline</a> uses the <a href="/docs/diffusers/pr_10083/en/api/schedulers/pndm#diffusers.PNDMScheduler">PNDMScheduler</a> by default, but 🤗 Diffusers provides many other schedulers (some of which are faster or output better quality) that are compatible. For example, if you want to use the <a href="/docs/diffusers/pr_10083/en/api/schedulers/euler#diffusers.EulerDiscreteScheduler">EulerDiscreteScheduler</a> instead of the default:</p> <div class="code-block relative"><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START --><span class="hljs-keyword">from</span> diffusers <span class="hljs-keyword">import</span> StableDiffusionPipeline, EulerDiscreteScheduler | |
| pipeline = StableDiffusionPipeline.from_pretrained(<span class="hljs-string">"CompVis/stable-diffusion-v1-4"</span>) | |
| pipeline.scheduler = EulerDiscreteScheduler.from_config(pipeline.scheduler.config) | |
| <span class="hljs-comment"># or</span> | |
| euler_scheduler = EulerDiscreteScheduler.from_pretrained(<span class="hljs-string">"CompVis/stable-diffusion-v1-4"</span>, subfolder=<span class="hljs-string">"scheduler"</span>) | |
| pipeline = StableDiffusionPipeline.from_pretrained(<span class="hljs-string">"CompVis/stable-diffusion-v1-4"</span>, scheduler=euler_scheduler)<!-- HTML_TAG_END --></pre></div> <h3 class="relative group"><a id="reuse-pipeline-components-to-save-memory" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#reuse-pipeline-components-to-save-memory"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>Reuse pipeline components to save memory</span></h3> <p data-svelte-h="svelte-l7kf3o">To save memory and use the same components across multiple pipelines, use the <code>.components</code> method to avoid loading weights into RAM more than once.</p> <div class="code-block relative"><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START --><span class="hljs-keyword">from</span> diffusers <span class="hljs-keyword">import</span> ( | |
| StableDiffusionPipeline, | |
| StableDiffusionImg2ImgPipeline, | |
| StableDiffusionInpaintPipeline, | |
| ) | |
| text2img = StableDiffusionPipeline.from_pretrained(<span class="hljs-string">"CompVis/stable-diffusion-v1-4"</span>) | |
| img2img = StableDiffusionImg2ImgPipeline(**text2img.components) | |
| inpaint = StableDiffusionInpaintPipeline(**text2img.components) | |
| <span class="hljs-comment"># now you can use text2img(...), img2img(...), inpaint(...) just like the call methods of each respective pipeline</span><!-- HTML_TAG_END --></pre></div> <h3 class="relative group"><a id="create-web-demos-using-gradio" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#create-web-demos-using-gradio"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>Create web demos using gradio</span></h3> <p data-svelte-h="svelte-c3cqz8">The Stable Diffusion pipelines are automatically supported in <a href="https://github.com/gradio-app/gradio/" rel="nofollow">Gradio</a>, a library that makes creating beautiful and user-friendly machine learning apps on the web a breeze. First, make sure you have Gradio installed:</p> <div class="code-block relative"><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START -->pip install -U gradio<!-- HTML_TAG_END --></pre></div> <p data-svelte-h="svelte-mzbhyf">Then, create a web demo around any Stable Diffusion-based pipeline. For example, you can create an image generation pipeline in a single line of code with Gradio’s <a href="https://www.gradio.app/docs/interface#interface-from-pipeline" rel="nofollow"><code>Interface.from_pipeline</code></a> function:</p> <div class="code-block relative"><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START --><span class="hljs-keyword">from</span> diffusers <span class="hljs-keyword">import</span> StableDiffusionPipeline | |
| <span class="hljs-keyword">import</span> gradio <span class="hljs-keyword">as</span> gr | |
| pipe = StableDiffusionPipeline.from_pretrained(<span class="hljs-string">"CompVis/stable-diffusion-v1-4"</span>) | |
| gr.Interface.from_pipeline(pipe).launch()<!-- HTML_TAG_END --></pre></div> <p data-svelte-h="svelte-1gwh6b">which opens an intuitive drag-and-drop interface in your browser:</p> <p data-svelte-h="svelte-1rp65hi"><img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/gradio-panda.png"></p> <p data-svelte-h="svelte-gdbtuv">Similarly, you could create a demo for an image-to-image pipeline with:</p> <div class="code-block relative"><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START --><span class="hljs-keyword">from</span> diffusers <span class="hljs-keyword">import</span> StableDiffusionImg2ImgPipeline | |
| <span class="hljs-keyword">import</span> gradio <span class="hljs-keyword">as</span> gr | |
| pipe = StableDiffusionImg2ImgPipeline.from_pretrained(<span class="hljs-string">"stable-diffusion-v1-5/stable-diffusion-v1-5"</span>) | |
| gr.Interface.from_pipeline(pipe).launch()<!-- HTML_TAG_END --></pre></div> <p data-svelte-h="svelte-f3wwo2">By default, the web demo runs on a local server. If you’d like to share it with others, you can generate a temporary public | |
| link by setting <code>share=True</code> in <code>launch()</code>. Or, you can host your demo on <a href="https://huggingface.co/spaces" rel="nofollow">Hugging Face Spaces</a><a href="https://huggingface.co/spaces" rel="nofollow">https://huggingface.co/spaces</a> for a permanent link.</p> <a class="!text-gray-400 !no-underline text-sm flex items-center not-prose mt-4" href="https://github.com/huggingface/diffusers/blob/main/docs/source/en/api/pipelines/stable_diffusion/overview.md" target="_blank"><span data-svelte-h="svelte-1kd6by1"><</span> <span data-svelte-h="svelte-x0xyl0">></span> <span data-svelte-h="svelte-1dajgef"><span class="underline ml-1.5">Update</span> on GitHub</span></a> <p></p> | |
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