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| <link rel="modulepreload" href="/docs/diffusers/pr_12652/zh/_app/immutable/chunks/CodeBlock.3dd9a65d.js"><!-- HEAD_svelte-u9bgzb_START --><meta name="hf:doc:metadata" content="{"title":"入门：使用混合推理进行 VAE 编码","local":"入门使用混合推理进行-vae-编码","sections":[{"title":"内存","local":"内存","sections":[],"depth":2},{"title":"可用 VAE","local":"可用-vae","sections":[],"depth":2},{"title":"代码","local":"代码","sections":[{"title":"基本示例","local":"基本示例","sections":[],"depth":3},{"title":"生成","local":"生成","sections":[],"depth":3}],"depth":2},{"title":"集成","local":"集成","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 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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="入门使用混合推理进行-vae-编码" 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="#入门使用混合推理进行-vae-编码"><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>入门：使用混合推理进行 VAE 编码</span></h1> <p data-svelte-h="svelte-18d93hg">VAE 编码用于训练、图像到图像和图像到视频——将图像或视频转换为潜在表示。</p> <h2 class="relative group"><a id="内存" 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="#内存"><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>内存</span></h2> <p data-svelte-h="svelte-1fz4jzc">这些表格展示了在不同 GPU 上使用 SD v1 和 SD XL 进行 VAE 编码的 VRAM 需求。</p> <p data-svelte-h="svelte-94dp3q">对于这些 GPU 中的大多数，内存使用百分比决定了其他模型（文本编码器、UNet/Transformer）必须被卸载，或者必须使用分块编码，这会增加时间并影响质量。</p> <details data-svelte-h="svelte-1953fnt"><summary>SD v1.5</summary> <table><thead><tr><th align="left">GPU</th> <th align="left">分辨率</th> <th align="right">时间（秒）</th> <th align="right">内存（%）</th> <th align="right">分块时间（秒）</th> <th align="right">分块内存（%）</th></tr></thead> <tbody><tr><td align="left">NVIDIA GeForce RTX 4090</td> <td align="left">512x512</td> <td align="right">0.015</td> <td align="right">3.51901</td> <td align="right">0.015</td> <td align="right">3.51901</td></tr> <tr><td align="left">NVIDIA GeForce RTX 4090</td> <td align="left">256x256</td> <td align="right">0.004</td> <td align="right">1.3154</td> <td align="right">0.005</td> <td align="right">1.3154</td></tr> <tr><td align="left">NVIDIA GeForce RTX 4090</td> <td align="left">2048x2048</td> <td align="right">0.402</td> <td align="right">47.1852</td> <td align="right">0.496</td> <td align="right">3.51901</td></tr> <tr><td align="left">NVIDIA GeForce RTX 4090</td> <td align="left">1024x1024</td> <td align="right">0.078</td> <td align="right">12.2658</td> <td align="right">0.094</td> <td align="right">3.51901</td></tr> <tr><td align="left">NVIDIA GeForce RTX 4080 SUPER</td> <td align="left">512x512</td> <td align="right">0.023</td> <td align="right">5.30105</td> <td align="right">0.023</td> <td align="right">5.30105</td></tr> <tr><td align="left">NVIDIA GeForce RTX 4080 SUPER</td> <td align="left">256x256</td> <td align="right">0.006</td> <td align="right">1.98152</td> <td align="right">0.006</td> <td align="right">1.98152</td></tr> <tr><td align="left">NVIDIA GeForce RTX 4080 SUPER</td> <td align="left">2048x2048</td> <td align="right">0.574</td> <td align="right">71.08</td> <td align="right">0.656</td> <td align="right">5.30105</td></tr> <tr><td align="left">NVIDIA GeForce RTX 4080 SUPER</td> <td align="left">1024x1024</td> <td align="right">0.111</td> <td align="right">18.4772</td> <td align="right">0.14</td> <td align="right">5.30105</td></tr> <tr><td align="left">NVIDIA GeForce RTX 3090</td> <td align="left">512x512</td> <td align="right">0.032</td> <td align="right">3.52782</td> <td align="right">0.032</td> <td align="right">3.52782</td></tr> <tr><td align="left">NVIDIA GeForce RTX 3090</td> <td align="left">256x256</td> <td align="right">0.01</td> <td align="right">1.31869</td> <td align="right">0.009</td> <td align="right">1.31869</td></tr> <tr><td align="left">NVIDIA GeForce RTX 3090</td> <td align="left">2048x2048</td> <td align="right">0.742</td> <td align="right">47.3033</td> <td align="right">0.954</td> <td align="right">3.52782</td></tr> <tr><td align="left">NVIDIA GeForce RTX 3090</td> <td align="left">1024x1024</td> <td align="right">0.136</td> <td align="right">12.2965</td> <td align="right">0.207</td> <td align="right">3.52782</td></tr> <tr><td align="left">NVIDIA GeForce RTX 3080</td> <td align="left">512x512</td> <td align="right">0.036</td> <td align="right">8.51761</td> <td align="right">0.036</td> <td align="right">8.51761</td></tr> <tr><td align="left">NVIDIA GeForce RTX 3080</td> <td align="left">256x256</td> <td align="right">0.01</td> <td align="right">3.18387</td> <td align="right">0.01</td> <td align="right">3.18387</td></tr> <tr><td align="left">NVIDIA GeForce RTX 3080</td> <td align="left">2048x2048</td> <td align="right">0.863</td> <td align="right">86.7424</td> <td align="right">1.191</td> <td align="right">8.51761</td></tr> <tr><td align="left">NVIDIA GeForce RTX 3080</td> <td align="left">1024x1024</td> <td align="right">0.157</td> <td align="right">29.6888</td> <td align="right">0.227</td> <td align="right">8.51761</td></tr> <tr><td align="left">NVIDIA GeForce RTX 3070</td> <td align="left">512x512</td> <td align="right">0.051</td> <td align="right">10.6941</td> <td align="right">0.051</td> <td align="right">10.6941</td></tr> <tr><td align="left">NVIDIA GeForce RTX 3070</td> <td align="left">256x256</td> <td align="right">0.015</td> <td align="right"></td> <td align="right"></td> <td align="right"></td></tr> <tr><td align="left">3.99743</td> <td align="left">0.015</td> <td align="right">3.99743</td> <td align="right"></td> <td align="right"></td> <td align="right"></td></tr> <tr><td align="left">NVIDIA GeForce RTX 3070</td> <td align="left">2048x2048</td> <td align="right">1.217</td> <td align="right">96.054</td> <td align="right">1.482</td> <td align="right">10.6941</td></tr> <tr><td align="left">NVIDIA GeForce RTX 3070</td> <td align="left">1024x1024</td> <td align="right">0.223</td> <td align="right">37.2751</td> <td align="right">0.327</td> <td align="right">10.6941</td></tr></tbody></table></details> <details data-svelte-h="svelte-1of1cfj"><summary>SDXL</summary> <table><thead><tr><th align="left">GPU</th> <th align="left">Resolution</th> <th align="right">Time (seconds)</th> <th align="right">Memory Consumed (%)</th> <th align="right">Tiled Time (seconds)</th> <th align="right">Tiled Memory (%)</th></tr></thead> <tbody><tr><td align="left">NVIDIA GeForce RTX 4090</td> <td align="left">512x512</td> <td align="right">0.029</td> <td align="right">4.95707</td> <td align="right">0.029</td> <td align="right">4.95707</td></tr> <tr><td align="left">NVIDIA GeForce RTX 4090</td> <td align="left">256x256</td> <td align="right">0.007</td> <td align="right">2.29666</td> <td align="right">0.007</td> <td align="right">2.29666</td></tr> <tr><td align="left">NVIDIA GeForce RTX 4090</td> <td align="left">2048x2048</td> <td align="right">0.873</td> <td align="right">66.3452</td> <td align="right">0.863</td> <td align="right">15.5649</td></tr> <tr><td align="left">NVIDIA GeForce RTX 4090</td> <td align="left">1024x1024</td> <td align="right">0.142</td> <td align="right">15.5479</td> <td align="right">0.143</td> <td align="right">15.5479</td></tr> <tr><td align="left">NVIDIA GeForce RTX 4080 SUPER</td> <td align="left">512x512</td> <td align="right">0.044</td> <td align="right">7.46735</td> <td align="right">0.044</td> <td align="right">7.46735</td></tr> <tr><td align="left">NVIDIA GeForce RTX 4080 SUPER</td> <td align="left">256x256</td> <td align="right">0.01</td> <td align="right">3.4597</td> <td align="right">0.01</td> <td align="right">3.4597</td></tr> <tr><td align="left">NVIDIA GeForce RTX 4080 SUPER</td> <td align="left">2048x2048</td> <td align="right">1.317</td> <td align="right">87.1615</td> <td align="right">1.291</td> <td align="right">23.447</td></tr> <tr><td align="left">NVIDIA GeForce RTX 4080 SUPER</td> <td align="left">1024x1024</td> <td align="right">0.213</td> <td align="right">23.4215</td> <td align="right">0.214</td> <td align="right">23.4215</td></tr> <tr><td align="left">NVIDIA GeForce RTX 3090</td> <td align="left">512x512</td> <td align="right">0.058</td> <td align="right">5.65638</td> <td align="right">0.058</td> <td align="right">5.65638</td></tr> <tr><td align="left">NVIDIA GeForce RTX 3090</td> <td align="left">256x256</td> <td align="right">0.016</td> <td align="right">2.45081</td> <td align="right">0.016</td> <td align="right">2.45081</td></tr> <tr><td align="left">NVIDIA GeForce RTX 3090</td> <td align="left">2048x2048</td> <td align="right">1.755</td> <td align="right">77.8239</td> <td align="right">1.614</td> <td align="right">18.4193</td></tr> <tr><td align="left">NVIDIA GeForce RTX 3090</td> <td align="left">1024x1024</td> <td align="right">0.265</td> <td align="right">18.4023</td> <td align="right">0.265</td> <td align="right">18.4023</td></tr> <tr><td align="left">NVIDIA GeForce RTX 3080</td> <td align="left">512x512</td> <td align="right">0.064</td> <td align="right">13.6568</td> <td align="right">0.064</td> <td align="right">13.6568</td></tr> <tr><td align="left">NVIDIA GeForce RTX 3080</td> <td align="left">256x256</td> <td align="right">0.018</td> <td align="right">5.91728</td> <td align="right">0.018</td> <td align="right">5.91728</td></tr> <tr><td align="left">NVIDIA GeForce RTX 3080</td> <td align="left">2048x2048</td> <td align="right">内存不足 (OOM)</td> <td align="right">内存不足 (OOM)</td> <td align="right">1.866</td> <td align="right">44.4717</td></tr> <tr><td align="left">NVIDIA GeForce RTX 3080</td> <td align="left">1024x1024</td> <td align="right">0.302</td> <td align="right">44.4308</td> <td align="right">0.302</td> <td align="right">44.4308</td></tr> <tr><td align="left">NVIDIA GeForce RTX 3070</td> <td align="left">512x512</td> <td align="right">0.093</td> <td align="right">17.1465</td> <td align="right">0.093</td> <td align="right">17.1465</td></tr></tbody></table> <p>| NVIDIA GeForce R | |
| | NVIDIA GeForce RTX 3070 | 256x256 | 0.025 | 7.42931 | 0.026 | 7.42931 | | |
| | NVIDIA GeForce RTX 3070 | 2048x2048 | OOM | OOM | 2.674 | 55.8355 | | |
| | NVIDIA GeForce RTX 3070 | 1024x1024 | 0.443 | 55.7841 | 0.443 | 55.7841 |</p></details> <h2 class="relative group"><a id="可用-vae" 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="#可用-vae"><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>可用 VAE</span></h2> <table data-svelte-h="svelte-176xk00"><thead><tr><th align="center"></th> <th align="center"><strong>端点</strong></th> <th align="center"><strong>模型</strong></th></tr></thead> <tbody><tr><td align="center"><strong>Stable Diffusion v1</strong></td> <td align="center"><a href="https://qc6479g0aac6qwy9.us-east-1.aws.endpoints.huggingface.cloud" rel="nofollow">https://qc6479g0aac6qwy9.us-east-1.aws.endpoints.huggingface.cloud</a></td> <td align="center"><a href="https://hf.co/stabilityai/sd-vae-ft-mse" rel="nofollow"><code>stabilityai/sd-vae-ft-mse</code></a></td></tr> <tr><td align="center"><strong>Stable Diffusion XL</strong></td> <td align="center"><a href="https://xjqqhmyn62rog84g.us-east-1.aws.endpoints.huggingface.cloud" rel="nofollow">https://xjqqhmyn62rog84g.us-east-1.aws.endpoints.huggingface.cloud</a></td> <td align="center"><a href="https://hf.co/madebyollin/sdxl-vae-fp16-fix" rel="nofollow"><code>madebyollin/sdxl-vae-fp16-fix</code></a></td></tr> <tr><td align="center"><strong>Flux</strong></td> <td align="center"><a href="https://ptccx55jz97f9zgo.us-east-1.aws.endpoints.huggingface.cloud" rel="nofollow">https://ptccx55jz97f9zgo.us-east-1.aws.endpoints.huggingface.cloud</a></td> <td align="center"><a href="https://hf.co/black-forest-labs/FLUX.1-schnell" rel="nofollow"><code>black-forest-labs/FLUX.1-schnell</code></a></td></tr></tbody></table> <blockquote class="tip" data-svelte-h="svelte-2m8t9a"><p>模型支持可以在此处请求：<a href="https://github.com/huggingface/diffusers/issues/new?template=remote-vae-pilot-feedback.yml" rel="nofollow">这里</a>。</p></blockquote> <h2 class="relative group"><a id="代码" 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="#代码"><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>代码</span></h2> <blockquote class="tip" data-svelte-h="svelte-18ijoqv"><p>从 <code>main</code> 安装 <code>diffusers</code> 以运行代码：<code>pip install git+https://github.com/huggingface/diffusers@main</code></p></blockquote> <p data-svelte-h="svelte-cygzif">一个辅助方法简化了与混合推理的交互。</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.utils.remote_utils <span class="hljs-keyword">import</span> remote_encode<!-- HTML_TAG_END --></pre></div> <h3 class="relative group"><a id="基本示例" 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="#基本示例"><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>基本示例</span></h3> <p data-svelte-h="svelte-14031wv">让我们编码一张图像，然后解码以演示。</p> <figure class="image flex flex-col items-center justify-center text-center m-0 w-full" data-svelte-h="svelte-1wy8fyj"><img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/astronaut.jpg"></figure> <details><summary data-svelte-h="svelte-430nxs">代码</summary> <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.utils <span class="hljs-keyword">import</span> load_image | |
| <span class="hljs-keyword">from</span> diffusers.utils.remote_utils <span class="hljs-keyword">import</span> remote_decode | |
| image = load_image(<span class="hljs-string">"https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/astronaut.jpg?download=true"</span>) | |
| latent = remote_encode( | |
| endpoint=<span class="hljs-string">"https://ptccx55jz97f9zgo.us-east-1.aws.endpoints.huggingface.cloud/"</span>, | |
| scaling_factor=<span class="hljs-number">0.3611</span>, | |
| shift_factor=<span class="hljs-number">0.1159</span>, | |
| ) | |
| decoded = remote_decode( | |
| endpoint=<span class="hljs-string">"https://whhx50ex1aryqvw6.us-east-1.aws.endpoints.huggingface.cloud/"</span>, | |
| tensor=latent, | |
| scaling_factor=<span class="hljs-number">0.3611</span>, | |
| shift_factor=<span class="hljs-number">0.1159</span>, | |
| )<!-- HTML_TAG_END --></pre></div></details> <figure class="image flex flex-col items-center justify-center text-center m-0 w-full" data-svelte-h="svelte-1a59igj"><img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/blog/remote_vae/decoded.png"></figure> <h3 class="relative group"><a id="生成" 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="#生成"><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>生成</span></h3> <p data-svelte-h="svelte-12guh6t">现在让我们看一个生成示例，我们将编码图像，生成，然后远程解码！</p> <details><summary data-svelte-h="svelte-430nxs">代码</summary> <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> torch | |
| <span class="hljs-keyword">from</span> diffusers <span class="hljs-keyword">import</span> StableDiffusionImg2ImgPip | |
| <span class="hljs-keyword">from</span> diffusers.utils <span class="hljs-keyword">import</span> load_image | |
| <span class="hljs-keyword">from</span> diffusers.utils.remote_utils <span class="hljs-keyword">import</span> remote_decode, remote_encode | |
| pipe = StableDiffusionImg2ImgPipeline.from_pretrained( | |
| <span class="hljs-string">"stable-diffusion-v1-5/stable-diffusion-v1-5"</span>, | |
| torch_dtype=torch.float16, | |
| variant=<span class="hljs-string">"fp16"</span>, | |
| vae=<span class="hljs-literal">None</span>, | |
| ).to(<span class="hljs-string">"cuda"</span>) | |
| init_image = load_image( | |
| <span class="hljs-string">"https://raw.githubusercontent.com/CompVis/stable-diffusion/main/assets/stable-samples/img2img/sketch-mountains-input.jpg"</span> | |
| ) | |
| init_image = init_image.resize((<span class="hljs-number">768</span>, <span class="hljs-number">512</span>)) | |
| init_latent = remote_encode( | |
| endpoint=<span class="hljs-string">"https://qc6479g0aac6qwy9.us-east-1.aws.endpoints.huggingface.cloud/"</span>, | |
| image=init_image, | |
| scaling_factor=<span class="hljs-number">0.18215</span>, | |
| ) | |
| prompt = <span class="hljs-string">"A fantasy landscape, trending on artstation"</span> | |
| latent = pipe( | |
| prompt=prompt, | |
| image=init_latent, | |
| strength=<span class="hljs-number">0.75</span>, | |
| output_type=<span class="hljs-string">"latent"</span>, | |
| ).images | |
| image = remote_decode( | |
| endpoint=<span class="hljs-string">"https://q1bj3bpq6kzilnsu.us-east-1.aws.endpoints.huggingface.cloud/"</span>, | |
| tensor=latent, | |
| scaling_factor=<span class="hljs-number">0.18215</span>, | |
| ) | |
| image.save(<span class="hljs-string">"fantasy_landscape.jpg"</span>)<!-- HTML_TAG_END --></pre></div></details> <figure class="image flex flex-col items-center justify-center text-center m-0 w-full" data-svelte-h="svelte-1kcguop"><img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/blog/remote_vae/fantasy_landscape.png"></figure> <h2 class="relative group"><a id="集成" 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="#集成"><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>集成</span></h2> <ul data-svelte-h="svelte-z5t6p"><li><strong><a href="https://github.com/vladmandic/sdnext" rel="nofollow">SD.Next</a>:</strong> 具有直接支持混合推理功能的一体化用户界面。</li> <li><strong><a href="https://github.com/kijai/ComfyUI-HFRemoteVae" rel="nofollow">ComfyUI-HFRemoteVae</a>:</strong> 用于混合推理的 ComfyUI 节点。</li></ul> <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/zh/hybrid_inference/vae_encode.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 data-svelte-h="svelte-zjs2n5"><span class="underline">Update</span> on GitHub</span></a> <p></p> | |
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