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<meta charset="utf-8" /><meta name="hf:doc:metadata" content="{&quot;title&quot;:&quot;Pipelines do Stable Diffusion&quot;,&quot;local&quot;:&quot;stable-diffusion-pipelines&quot;,&quot;sections&quot;:[{&quot;title&quot;:&quot;Dicas&quot;,&quot;local&quot;:&quot;tips&quot;,&quot;sections&quot;:[{&quot;title&quot;:&quot;Explore o compromisso entre velocidade e qualidade&quot;,&quot;local&quot;:&quot;explore-tradeoff-between-speed-and-quality&quot;,&quot;sections&quot;:[],&quot;depth&quot;:3},{&quot;title&quot;:&quot;Reutilize componentes de pipeline para economizar memória&quot;,&quot;local&quot;:&quot;reuse-pipeline-components-to-save-memory&quot;,&quot;sections&quot;:[],&quot;depth&quot;:3},{&quot;title&quot;:&quot;Crie demonstrações web usando gradio&quot;,&quot;local&quot;:&quot;create-web-demos-using-gradio&quot;,&quot;sections&quot;:[],&quot;depth&quot;:3}],&quot;depth&quot;:2}],&quot;depth&quot;:1}"/>
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		<!--17yjmkr--><meta name="hf:doc:metadata" content="{&quot;title&quot;:&quot;Stable Diffusion pipelines&quot;,&quot;local&quot;:&quot;stable-diffusion-pipelines&quot;,&quot;sections&quot;:[{&quot;title&quot;:&quot;Tips&quot;,&quot;local&quot;:&quot;tips&quot;,&quot;sections&quot;:[{&quot;title&quot;:&quot;Explore tradeoff between speed and quality&quot;,&quot;local&quot;:&quot;explore-tradeoff-between-speed-and-quality&quot;,&quot;sections&quot;:[],&quot;depth&quot;:3},{&quot;title&quot;:&quot;Reuse pipeline components to save memory&quot;,&quot;local&quot;:&quot;reuse-pipeline-components-to-save-memory&quot;,&quot;sections&quot;:[],&quot;depth&quot;:3},{&quot;title&quot;:&quot;Create web demos using gradio&quot;,&quot;local&quot;:&quot;create-web-demos-using-gradio&quot;,&quot;sections&quot;:[],&quot;depth&quot;:3}],&quot;depth&quot;:2}],&quot;depth&quot;:1}"/><!---->
		<link href="/docs/diffusers/main/en/_app/immutable/assets/0.tn0RQdqM.css" rel="modulepreload"> <!--[--><!--[0--><!--[--><!--[0--><!--[--><p></p> <div class="items-center shrink-0 min-w-[100px] max-sm:min-w-[50px] justify-end ml-auto flex" style="float: inline-end; margin-inline-start: 10px; display: inline-flex; position: relative; z-index: 10;"><div dir="ltr" class="inline-flex rounded-md max-sm:rounded-sm"><button class="inline-flex items-center gap-1 h-7 max-sm:h-7 px-2 max-sm:px-1.5 text-sm font-medium text-gray-800 border border-r-0 rounded-l-md max-sm:rounded-l-sm border-gray-200 bg-white hover:shadow-inner dark:border-gray-850 dark:bg-gray-950 dark:text-gray-200 dark:hover:bg-gray-800" aria-live="polite"><span class="inline-flex items-center justify-center rounded-md p-0.5 max-sm:p-0 hover:text-gray-800 dark:hover:text-gray-200"><svg class="sm:size-3.5 size-3" 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><!----></span> <span dir="auto">Copy page</span></button> <button class="inline-flex items-center justify-center w-6 max-sm:w-5 h-7 max-sm:h-7 disabled:pointer-events-none text-sm text-gray-500 hover:text-gray-700 dark:hover:text-white rounded-r-md max-sm:rounded-r-sm border border-l transition border-gray-200 bg-white hover:shadow-inner dark:border-gray-850 dark:bg-gray-950 dark:text-gray-200 dark:hover:bg-gray-800" aria-haspopup="menu" aria-expanded="false" aria-label="Open copy menu"><svg class="transition-transform text-gray-400 overflow-visible sm:size-3.5 size-3 rotate-0" width="1em" height="1em" viewBox="0 0 12 7" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M1 1L6 6L11 1" stroke="currentColor"></path></svg><!----></button></div> <!--[-1--><!--]--></div><!----> <!--[0--><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 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><!---->Pipelines do Stable Diffusion<!----></span></h1><!--]--><!----> <div class="flex flex-wrap space-x-1"><img alt="LoRA" src="https://img.shields.io/badge/LoRA-d8b4fe?style=flat"/></div> <p>Stable Diffusion é um modelo de difusão latente de texto para imagem criado pelos pesquisadores e engenheiros do <a href="https://github.com/CompVis" rel="nofollow">CompVis</a>, <a href="https://stability.ai/" rel="nofollow">Stability AI</a> e <a href="https://laion.ai/" rel="nofollow">LAION</a>. A difusão latente aplica o processo de difusão em um espaço latente de dimensão inferior para reduzir a complexidade de memória e de computação. Esse tipo específico de modelo de difusão foi proposto em <a href="https://huggingface.co/papers/2112.10752" rel="nofollow">High-Resolution Image Synthesis with Latent Diffusion Models</a> por Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, Björn Ommer.</p> <p>O Stable Diffusion é treinado em imagens de 512x512 de um subconjunto do conjunto de dados LAION-5B. Este modelo usa um codificador de texto CLIP ViT-L/14 congelado para condicionar o modelo em prompts de texto. Com seu UNet de 860M e codificador de texto de 123M, o modelo é relativamente leve e pode ser executado em GPUs de consumo.</p> <p>Para mais detalhes sobre como o Stable Diffusion funciona e como ele difere do modelo base de difusão latente, confira o <a href="https://stability.ai/blog/stable-diffusion-announcement" rel="nofollow">anúncio</a> da Stability AI e nosso próprio <a href="https://huggingface.co/blog/stable_diffusion#how-does-stable-diffusion-work" rel="nofollow">post de blog</a> para mais detalhes técnicos.</p> <p>Você pode encontrar o código original do Stable Diffusion v1.0 em <a href="https://github.com/CompVis/stable-diffusion" rel="nofollow">CompVis/stable-diffusion</a> e do Stable Diffusion v2.0 em <a href="https://github.com/Stability-AI/stablediffusion" rel="nofollow">Stability-AI/stablediffusion</a>, bem como seus scripts originais para diversas tarefas. Checkpoints oficiais adicionais para as diferentes versões e tarefas do Stable Diffusion podem ser encontrados nas organizações <a href="https://huggingface.co/CompVis" rel="nofollow">CompVis</a> e <a href="https://huggingface.co/stabilityai" rel="nofollow">Stability AI</a> no Hub. Explore essas organizações para encontrar o melhor checkpoint para o seu caso de uso!</p> <p>A tabela abaixo resume os pipelines do Stable Diffusion disponíveis, as tarefas suportadas e uma demonstração interativa:</p> <div class="flex justify-center"><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">Tarefas suportadas</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">texto-para-imagem</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">imagem-para-imagem</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/stable-diffusion-v1-5/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">variação de imagem</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">StableDiffusionPipelineSafe (obsoleto; sem página de documentação)</td><td class="px-4 py-2 text-gray-700">texto-para-imagem filtrado</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">texto-para-imagem, inpainting, profundidade-para-imagem, super-resolução</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">texto-para-imagem, imagem-para-imagem</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-resolução</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-resolução</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">texto-para-rgb, texto-para-profundidade, texto-para-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">super-resolução do ldm3d</td></tr></tbody></table></div></div> <!--[1--><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 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><!---->Dicas<!----></span></h2><!--]--><!----> <p>Para ajudar você a aproveitar ao máximo os pipelines do Stable Diffusion, aqui estão algumas dicas para melhorar o desempenho e a usabilidade. Essas dicas se aplicam a todos os pipelines do Stable Diffusion.</p> <!--[2--><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 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 o compromisso entre velocidade e qualidade<!----></span></h3><!--]--><!----> <p><a href="/docs/diffusers/v0.43.0/pt/api/pipelines/stable_diffusion/text2img#diffusers.StableDiffusionPipeline">StableDiffusionPipeline</a> usa o <a href="/docs/diffusers/v0.43.0/pt/api/schedulers/pndm#diffusers.PNDMScheduler">PNDMScheduler</a> por padrão, mas o 🤗 Diffusers oferece muitos outros agendadores compatíveis (alguns mais rápidos ou com melhor qualidade de saída). Por exemplo, se você quiser usar o <a href="/docs/diffusers/v0.43.0/pt/api/schedulers/euler#diffusers.EulerDiscreteScheduler">EulerDiscreteScheduler</a> em vez do padrão:</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 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> Copiado</div><!----></button><!----></div> <pre class="language-py "><!----><span class="hljs-keyword">from</span> diffusers <span class="hljs-keyword">import</span> StableDiffusionPipeline, EulerDiscreteScheduler

pipeline = StableDiffusionPipeline.from_pretrained(<span class="hljs-string">&quot;CompVis/stable-diffusion-v1-4&quot;</span>)
pipeline.scheduler = EulerDiscreteScheduler.from_config(pipeline.scheduler.config)

<span class="hljs-comment"># or</span>
euler_scheduler = EulerDiscreteScheduler.from_pretrained(<span class="hljs-string">&quot;CompVis/stable-diffusion-v1-4&quot;</span>, subfolder=<span class="hljs-string">&quot;scheduler&quot;</span>)
pipeline = StableDiffusionPipeline.from_pretrained(<span class="hljs-string">&quot;CompVis/stable-diffusion-v1-4&quot;</span>, scheduler=euler_scheduler)<!----></pre></div><!----> <!--[2--><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 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><!---->Reutilize componentes de pipeline para economizar memória<!----></span></h3><!--]--><!----> <p>Para economizar memória e usar os mesmos componentes em vários pipelines, use o método <code>.components</code> para evitar carregar os pesos na RAM mais de uma vez.</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 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> Copiado</div><!----></button><!----></div> <pre class="language-py "><!----><span class="hljs-keyword">from</span> diffusers <span class="hljs-keyword">import</span> (
    StableDiffusionPipeline,
    StableDiffusionImg2ImgPipeline,
    StableDiffusionInpaintPipeline,
)

text2img = StableDiffusionPipeline.from_pretrained(<span class="hljs-string">&quot;CompVis/stable-diffusion-v1-4&quot;</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><!----></pre></div><!----> <!--[2--><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 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><!---->Crie demonstrações web usando gradio<!----></span></h3><!--]--><!----> <p>Os pipelines do Stable Diffusion são suportados automaticamente no <a href="https://github.com/gradio-app/gradio/" rel="nofollow">Gradio</a>, uma biblioteca que facilita a criação de aplicativos de machine learning bonitos e fáceis de usar na web. Primeiro, verifique se o Gradio está instalado:</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 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> Copiado</div><!----></button><!----></div> <pre class="language-sh "><!---->pip install -U gradio<!----></pre></div><!----> <p>Em seguida, crie uma demonstração web em torno de qualquer pipeline baseado em Stable Diffusion. Por exemplo, você pode criar um pipeline de geração de imagens em uma única linha de código com a função <a href="https://www.gradio.app/docs/interface#interface-from-pipeline" rel="nofollow"><code>Interface.from_pipeline</code></a> do Gradio:</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 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> Copiado</div><!----></button><!----></div> <pre class="language-py "><!----><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">&quot;CompVis/stable-diffusion-v1-4&quot;</span>)

gr.Interface.from_pipeline(pipe).launch()<!----></pre></div><!----> <p>que abre uma interface intuitiva de arrastar e soltar no seu navegador:</p> <p><img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/gradio-panda.png"/></p> <p>Da mesma forma, você poderia criar uma demonstração para um pipeline de imagem-para-imagem com:</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 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> Copiado</div><!----></button><!----></div> <pre class="language-py "><!----><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">&quot;stable-diffusion-v1-5/stable-diffusion-v1-5&quot;</span>)

gr.Interface.from_pipeline(pipe).launch()<!----></pre></div><!----> <p>Por padrão, a demonstração web é executada em um servidor local. Se você quiser compartilhá-la com outras pessoas, pode gerar um link público temporário definindo <code>share=True</code> em <code>launch()</code>. Ou, você pode hospedar sua demonstração no <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> para um link permanente.</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"><svg class="mr-1" 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="M31,16l-7,7l-1.41-1.41L28.17,16l-5.58-5.59L24,9l7,7z"></path><path d="M1,16l7-7l1.41,1.41L3.83,16l5.58,5.59L8,23l-7-7z"></path><path d="M12.419,25.484L17.639,6.552l1.932,0.518L14.351,26.002z"></path></svg><!----> <span><span class="underline">Update</span> on GitHub</span></a><!----> <p></p><!--]--><!----><!--]--><!--]--><!--]--> <!--[-1--><!--]--><!--]-->
			
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