Buckets:
hf-doc-build/doc-dev / optimum-neuron /pr_1097 /en /inference_tutorials /stable-diffusion-xl-txt2img.html
| <meta charset="utf-8" /><meta name="hf:doc:metadata" content="{"title":"Stable Diffusion XL with Neuronx: Text to image","local":"stable-diffusion-xl-with-neuronx-text-to-image","sections":[{"title":"Compilation","local":"compilation","sections":[],"depth":2},{"title":"Text-to-image Inference","local":"text-to-image-inference","sections":[],"depth":2}],"depth":1}"> | |
| <link href="/docs/optimum.neuron/pr_1097/en/_app/immutable/assets/0.e3b0c442.css" rel="modulepreload"> | |
| <link rel="modulepreload" href="/docs/optimum.neuron/pr_1097/en/_app/immutable/entry/start.82e2ff17.js"> | |
| <link rel="modulepreload" href="/docs/optimum.neuron/pr_1097/en/_app/immutable/chunks/scheduler.56725da7.js"> | |
| <link rel="modulepreload" href="/docs/optimum.neuron/pr_1097/en/_app/immutable/chunks/singletons.2080b4fc.js"> | |
| <link rel="modulepreload" href="/docs/optimum.neuron/pr_1097/en/_app/immutable/chunks/paths.90dabf70.js"> | |
| <link rel="modulepreload" href="/docs/optimum.neuron/pr_1097/en/_app/immutable/entry/app.9b0c0103.js"> | |
| <link rel="modulepreload" href="/docs/optimum.neuron/pr_1097/en/_app/immutable/chunks/preload-helper.9dba61fb.js"> | |
| <link rel="modulepreload" href="/docs/optimum.neuron/pr_1097/en/_app/immutable/chunks/index.18a26576.js"> | |
| <link rel="modulepreload" href="/docs/optimum.neuron/pr_1097/en/_app/immutable/nodes/0.912aab06.js"> | |
| <link rel="modulepreload" href="/docs/optimum.neuron/pr_1097/en/_app/immutable/chunks/each.e59479a4.js"> | |
| <link rel="modulepreload" href="/docs/optimum.neuron/pr_1097/en/_app/immutable/nodes/25.15982e2d.js"> | |
| <link rel="modulepreload" href="/docs/optimum.neuron/pr_1097/en/_app/immutable/chunks/CopyLLMTxtMenu.fb3856d8.js"> | |
| <link rel="modulepreload" href="/docs/optimum.neuron/pr_1097/en/_app/immutable/chunks/globals.7f7f1b26.js"> | |
| <link rel="modulepreload" href="/docs/optimum.neuron/pr_1097/en/_app/immutable/chunks/MermaidChart.svelte_svelte_type_style_lang.a16844e0.js"> | |
| <link rel="modulepreload" href="/docs/optimum.neuron/pr_1097/en/_app/immutable/chunks/CodeBlock.2d00672f.js"><!-- HEAD_svelte-u9bgzb_START --><meta name="hf:doc:metadata" content="{"title":"Stable Diffusion XL with Neuronx: Text to image","local":"stable-diffusion-xl-with-neuronx-text-to-image","sections":[{"title":"Compilation","local":"compilation","sections":[],"depth":2},{"title":"Text-to-image Inference","local":"text-to-image-inference","sections":[],"depth":2}],"depth":1}"><!-- HEAD_svelte-u9bgzb_END --> <p></p> <div class="items-center shrink-0 min-w-[100px] max-sm:min-w-[50px] justify-end ml-auto flex" style="float: right; margin-left: 10px; display: inline-flex; position: relative; z-index: 10;"><div 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>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> </div> <h1 class="relative group"><a id="stable-diffusion-xl-with-neuronx-text-to-image" 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-xl-with-neuronx-text-to-image"><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 XL with Neuronx: Text to image</span></h1> <p data-svelte-h="svelte-be3xqg"><code>🤗 Optimum</code> extends <code>🤗 Diffusers</code> to support inference on the second generation of Neuron devices(powering Trainium and Inferentia 2). It aims at inheriting the ease of Diffusers on Neuron.</p> <p data-svelte-h="svelte-1s81f4o">To get started, make sure you have <a href="https://huggingface.co/docs/optimum-neuron/installation" rel="nofollow">configured your inf2 / trn1 instance</a>, and installed optimum:</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 <span class="hljs-string">"optimum-neuron[neuronx]"</span> diffusers matplotlib<!-- HTML_TAG_END --></pre></div> <h2 class="relative group"><a id="compilation" 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="#compilation"><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>Compilation</span></h2> <p data-svelte-h="svelte-u4wwem">To deploy SDXL models, we will also start by compiling the models. We support the export of following components in the pipeline to boost the speed:</p> <ul data-svelte-h="svelte-17e9k9s"><li>Text encoder</li> <li>Second text encoder</li> <li>U-Net (a three times larger UNet than the one in Stable Diffusion pipeline)</li> <li>VAE encoder</li> <li>VAE decoder</li></ul> <p data-svelte-h="svelte-1d2u1ic">You can either compile and export a Stable Diffusion Checkpoint via CLI or <code>NeuronStableDiffusionXLPipeline</code> class. | |
| In this tutorial, we will export <a href="https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0" rel="nofollow"><code>stabilityai/stable-diffusion-xl-base-1.0</code></a> with the API.</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> optimum.neuron <span class="hljs-keyword">import</span> NeuronStableDiffusionXLPipeline | |
| model_id = <span class="hljs-string">"stabilityai/stable-diffusion-xl-base-1.0"</span> | |
| num_image_per_prompt = <span class="hljs-number">1</span> | |
| input_shapes = {<span class="hljs-string">"batch_size"</span>: <span class="hljs-number">1</span>, <span class="hljs-string">"height"</span>: <span class="hljs-number">1024</span>, <span class="hljs-string">"width"</span>: <span class="hljs-number">1024</span>, <span class="hljs-string">"num_image_per_prompt"</span>: num_image_per_prompt} | |
| compiler_args = {<span class="hljs-string">"auto_cast"</span>: <span class="hljs-string">"matmul"</span>, <span class="hljs-string">"auto_cast_type"</span>: <span class="hljs-string">"bf16"</span>}<!-- HTML_TAG_END --></pre></div> <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-comment"># Compile and save</span> | |
| stable_diffusion_xl = NeuronStableDiffusionXLPipeline.from_pretrained( | |
| model_id, export=<span class="hljs-literal">True</span>, device_ids=[<span class="hljs-number">0</span>, <span class="hljs-number">1</span>], **compiler_args, **input_shapes | |
| ) | |
| save_directory = <span class="hljs-string">"sd_neuron_xl/"</span> | |
| stable_diffusion_xl.save_pretrained(save_directory)<!-- HTML_TAG_END --></pre></div> <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-comment"># Push and share your model to the HuggingFace hub</span> | |
| repository_id = ( | |
| <span class="hljs-string">"your-username/your-awesome-model"</span> <span class="hljs-comment"># Replace with your repo id, eg. "Jingya/stable-diffusion-xl-base-1.0-neuronx".</span> | |
| ) | |
| stable_diffusion_xl.push_to_hub(save_directory, repository_id=repository_id, use_auth_token=<span class="hljs-literal">True</span>)<!-- HTML_TAG_END --></pre></div> <p data-svelte-h="svelte-1enlbt5">Feel free to use the following command as well for compiling and exporting the model:</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 -->optimum-cli <span class="hljs-built_in">export</span> neuron --model stabilityai/stable-diffusion-xl-base-1.0 \ | |
| --task stable-diffusion-xl \ | |
| --batch_size 1 \ | |
| --height 1024 `<span class="hljs-comment"># height in pixels of generated image, eg. 768, 1024` \</span> | |
| --width 1024 `<span class="hljs-comment"># width in pixels of generated image, eg. 768, 1024` \</span> | |
| --num_images_per_prompt 1 `<span class="hljs-comment"># number of images to generate per prompt, defaults to 1` \</span> | |
| --auto_cast matmul `<span class="hljs-comment"># cast only matrix multiplication operations` \</span> | |
| --auto_cast_type bf16 `<span class="hljs-comment"># cast operations from FP32 to BF16` \</span> | |
| sd_neuron_xl/<!-- HTML_TAG_END --></pre></div> <p data-svelte-h="svelte-46g4vv">We Recommend <code>inf2.8xlarge</code> or larger for compilation. You will also be able to compile the models with a CPU-only instance <em>(needs ~92GB memory)</em> using the CLI with <code>--disable-validation</code>, which disables the validation of inference on neuron devices.</p> <p data-svelte-h="svelte-175bmy8">In the following section, we will run the pre-compiled model on Neuron devices, to reduce expenses, you can run inference with <code>inf2.xlarge</code> instance.</p> <h2 class="relative group"><a id="text-to-image-inference" 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="#text-to-image-inference"><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>Text-to-image Inference</span></h2> <p data-svelte-h="svelte-1os6vm4">If you have pre-compiled Stable Diffusion XL models, you can load them directly to skip the compilation:</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-comment"># stable_diffusion_xl = NeuronStableDiffusionXLPipeline.from_pretrained("your-username/your-awesome-model") # Pass a local path or your repo id on the HuggingFace hub.</span><!-- HTML_TAG_END --></pre></div> <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> DPMSolverMultistepScheduler | |
| stable_diffusion_xl.scheduler = DPMSolverMultistepScheduler.from_config(stable_diffusion_xl.scheduler.config)<!-- HTML_TAG_END --></pre></div> <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">import</span> time | |
| <span class="hljs-keyword">import</span> numpy <span class="hljs-keyword">as</span> np | |
| <span class="hljs-keyword">from</span> matplotlib <span class="hljs-keyword">import</span> image <span class="hljs-keyword">as</span> mpimg | |
| <span class="hljs-keyword">from</span> matplotlib <span class="hljs-keyword">import</span> pyplot <span class="hljs-keyword">as</span> plt<!-- HTML_TAG_END --></pre></div> <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-meta">>>> </span><span class="hljs-comment"># Run pipeline</span> | |
| <span class="hljs-meta">>>> </span>prompt = [ | |
| <span class="hljs-meta">... </span> <span class="hljs-string">"a photo of an astronaut riding a horse on mars"</span>, | |
| <span class="hljs-meta">... </span> <span class="hljs-string">"sonic on the moon"</span>, | |
| <span class="hljs-meta">... </span> <span class="hljs-string">"elvis playing guitar while eating a hotdog"</span>, | |
| <span class="hljs-meta">... </span> <span class="hljs-string">"saved by the bell"</span>, | |
| <span class="hljs-meta">... </span> <span class="hljs-string">"engineers eating lunch at the opera"</span>, | |
| <span class="hljs-meta">... </span> <span class="hljs-string">"panda eating bamboo on a plane"</span>, | |
| <span class="hljs-meta">... </span> <span class="hljs-string">"A digital illustration of a steampunk flying machine in the sky with cogs and mechanisms, 4k, detailed, trending in artstation, fantasy vivid colors"</span>, | |
| <span class="hljs-meta">... </span> <span class="hljs-string">"kids playing soccer at the FIFA World Cup"</span>, | |
| <span class="hljs-meta">... </span>] | |
| <span class="hljs-meta">>>> </span>plt.title(<span class="hljs-string">"Image"</span>) | |
| <span class="hljs-meta">>>> </span>plt.xlabel(<span class="hljs-string">"X pixel scaling"</span>) | |
| <span class="hljs-meta">>>> </span>plt.ylabel(<span class="hljs-string">"Y pixels scaling"</span>) | |
| <span class="hljs-meta">>>> </span>total_time = <span class="hljs-number">0</span> | |
| <span class="hljs-meta">>>> </span><span class="hljs-keyword">for</span> x <span class="hljs-keyword">in</span> prompt: | |
| <span class="hljs-meta">... </span> start_time = time.time() | |
| <span class="hljs-meta">... </span> image = stable_diffusion_xl(x).images[<span class="hljs-number">0</span>] | |
| <span class="hljs-meta">... </span> inf_time = time.time() - start_time | |
| <span class="hljs-meta">... </span> <span class="hljs-built_in">print</span>(<span class="hljs-string">f"[Inference Time] <span class="hljs-subst">{np.<span class="hljs-built_in">round</span>(inf_time, <span class="hljs-number">2</span>)}</span> seconds."</span>) | |
| <span class="hljs-meta">... </span> image.save(<span class="hljs-string">"image.png"</span>) | |
| <span class="hljs-meta">... </span> image = mpimg.imread(<span class="hljs-string">"image.png"</span>) | |
| <span class="hljs-meta">... </span> <span class="hljs-comment"># clear_output(wait=True)</span> | |
| <span class="hljs-meta">... </span> plt.imshow(image) | |
| <span class="hljs-meta">... </span> plt.show()<!-- HTML_TAG_END --></pre></div> <pre data-svelte-h="svelte-drmaos">[Inference Time] 13.74 seconds. | |
| </pre> <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 --><!-- HTML_TAG_END --></pre></div> <p></p> | |
| <script> | |
| { | |
| __sveltekit_19pvy0q = { | |
| assets: "/docs/optimum.neuron/pr_1097/en", | |
| base: "/docs/optimum.neuron/pr_1097/en", | |
| env: {} | |
| }; | |
| const element = document.currentScript.parentElement; | |
| const data = [null,null]; | |
| Promise.all([ | |
| import("/docs/optimum.neuron/pr_1097/en/_app/immutable/entry/start.82e2ff17.js"), | |
| import("/docs/optimum.neuron/pr_1097/en/_app/immutable/entry/app.9b0c0103.js") | |
| ]).then(([kit, app]) => { | |
| kit.start(app, element, { | |
| node_ids: [0, 25], | |
| data, | |
| form: null, | |
| error: null | |
| }); | |
| }); | |
| } | |
| </script> | |
Xet Storage Details
- Size:
- 29.4 kB
- Xet hash:
- 541fcc4f0e51084411ff09eae3cef0c071b2211ca0cb9c259cec212344f9e576
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.