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| <meta charset="utf-8" /><meta name="hf:doc:metadata" content="{"title":"Diffusers","local":"diffusers","sections":[{"title":"Learn","local":"learn","sections":[],"depth":2}],"depth":1}"> | |
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| <link rel="modulepreload" href="/docs/diffusers/pr_12262/en/_app/immutable/chunks/getInferenceSnippets.676f6ee5.js"><!-- HEAD_svelte-u9bgzb_START --><meta name="hf:doc:metadata" content="{"title":"Diffusers","local":"diffusers","sections":[{"title":"Learn","local":"learn","sections":[],"depth":2}],"depth":1}"><!-- HEAD_svelte-u9bgzb_END --> <p></p> <p align="center" data-svelte-h="svelte-16r58op"><br> <img src="https://raw.githubusercontent.com/huggingface/diffusers/77aadfee6a891ab9fcfb780f87c693f7a5beeb8e/docs/source/imgs/diffusers_library.jpg" width="400" style="border: none;"> <br></p> <h1 class="relative group"><a id="diffusers" 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="#diffusers"><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>Diffusers</span></h1> <p data-svelte-h="svelte-11jchwu">Diffusers is a library of state-of-the-art pretrained diffusion models for generating videos, images, and audio.</p> <p data-svelte-h="svelte-lloyd4">The library revolves around the <a href="/docs/diffusers/pr_12262/en/api/pipelines/overview#diffusers.DiffusionPipeline">DiffusionPipeline</a>, an API designed for:</p> <ul data-svelte-h="svelte-1aulr9j"><li>easy inference with only a few lines of code</li> <li>flexibility to mix-and-match pipeline components (models, schedulers)</li> <li>loading and using adapters like LoRA</li></ul> <p data-svelte-h="svelte-f2gta2">Diffusers also comes with optimizations - such as offloading and quantization - to ensure even the largest models are accessible on memory-constrained devices. If memory is not an issue, Diffusers supports torch.compile to boost inference speed.</p> <p data-svelte-h="svelte-1mn1ntk">Get started right away with a Diffusers model on the <a href="https://huggingface.co/models?library=diffusers&sort=trending" rel="nofollow">Hub</a> today!</p> <h2 class="relative group"><a id="learn" 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="#learn"><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>Learn</span></h2> <p data-svelte-h="svelte-w1mmt9">If you’re a beginner, we recommend starting with the <a href="https://huggingface.co/learn/diffusion-course/unit0/1" rel="nofollow">Hugging Face Diffusion Models Course</a>. You’ll learn the theory behind diffusion models, and learn how to use the Diffusers library to generate images, fine-tune your own models, and more.</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/index.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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