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README.md
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We host public models for Latent Diffusion and Stable Diffusion. There are several versions available, so please make sure to choose the one appropriate for your preferred library as explained below.
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<h2>
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Welcome to CompVis!
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</h2>
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<p>
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We host public weights for Latent Diffusion and Stable Diffusion models. There are several options to choose from, please check the details below.
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</p>
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<h3>
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Stable Diffusion Models
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</h3>
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<p>
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Stable Diffusion is a latent text-to-image diffusion model capable of generating photo-realistic images given any text input. For more information about how Stable Diffusion works, please have a look at [🤗's Stable Diffusion with D🧨ffusers blog](hf.co/blog/stable_diffusion).
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</p>
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<p>
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We recommend you use Stable Diffusion with [🤗 Diffusers library](https://github.com/huggingface/diffusers). You can also use the original [CompVis code](https://github.com/compvis/stable-diffusion). There are variants of the weights depending on:
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<ul>
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<li>The library they are intended for.</li>
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<li>The training regime. There are 4 training versions: `v1-1` through `v1-4`. Each one was created from the checkpoint of the previous version, and was trained for additional steps in specific variants of the dataset.
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</p>
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<p>
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Please, refer to the details in the following table to choose the weights appropriate for your use.
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</p>
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<style type="text/css">
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.tg {border-collapse:collapse;border-spacing:0;}
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.tg td{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;
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overflow:hidden;padding:10px 5px;word-break:normal;}
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.tg th{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;
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font-weight:normal;overflow:hidden;padding:10px 5px;word-break:normal;}
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.tg .tg-0pky{border-color:inherit;text-align:left;vertical-align:top}
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</style>
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<table class="tg">
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<thead>
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<tr>
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<th class="tg-0pky">Model</th>
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<th class="tg-0pky">Library</th>
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<th class="tg-0pky">Details</th>
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</tr>
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</thead>
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<tbody>
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<tr>
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<td class="tg-0pky"><a href="https://huggingface.co/CompVis/stable-diffusion-v-1-1" target="_blank" rel="noopener noreferrer">stable-diffusion-v1-1</a></td>
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<td class="tg-0pky"><a href="https://github.com/huggingface/diffusers" target="_blank" rel="noopener noreferrer"><span style="font-weight:400">🤗</span></a><a href="https://github.com/huggingface/diffusers" target="_blank" rel="noopener noreferrer">Diffusers</a></td>
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<td class="tg-0pky">237k steps at resolution 256x256 on laion2B-en.<br>194k steps at resolution 512x512 on laion-high-resolution.</td>
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</tr>
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<tr>
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<td class="tg-0pky"><a href="https://huggingface.co/CompVis/stable-diffusion-v-1-2" target="_blank" rel="noopener noreferrer"><span style="color:#905">stable-diffusion-v1-2</span></a></td>
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<td class="tg-0pky"><a href="https://github.com/huggingface/diffusers" target="_blank" rel="noopener noreferrer"><span style="font-weight:400;font-style:normal;text-decoration:none">Diffusers</span></a></td>
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<td class="tg-0pky">v1-1 plus:<br>515k steps at 512x512 on "laion-improved-aesthetics".</td>
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</tr>
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<tr>
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<td class="tg-0pky"><a href="https://huggingface.co/CompVis/stable-diffusion-v-1-3" target="_blank" rel="noopener noreferrer"><span style="color:#905">stable-diffusion-v1-3</span></a></td>
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<td class="tg-0pky"><a href="https://github.com/huggingface/diffusers" target="_blank" rel="noopener noreferrer"><span style="font-weight:400;font-style:normal;text-decoration:none">Diffusers</span></a></td>
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<td class="tg-0pky">v1-2 plus:<br>195k steps at 512x512 on "laion-improved-aesthetics",with 10% dropping of text-conditioning.</td>
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</tr>
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<tr>
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<td class="tg-0pky"><a href="https://huggingface.co/CompVis/stable-diffusion-v-1-4" target="_blank" rel="noopener noreferrer"><span style="color:#905">stable-diffusion-v1-4</span></a></td>
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<td class="tg-0pky"><a href="https://github.com/huggingface/diffusers" target="_blank" rel="noopener noreferrer"><span style="font-weight:400;font-style:normal;text-decoration:none">Diffusers</span></a></td>
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<td class="tg-0pky"></td>
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</tr>
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<tr>
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<td class="tg-0pky"><a href="https://huggingface.co/CompVis/stable-diffusion-v-1-1-original" target="_blank" rel="noopener noreferrer"><span style="color:#905">stable-diffusion-v1-1-original</span></a></td>
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<td class="tg-0pky"><a href="https://github.com/compvis/stable-diffusion" target="_blank" rel="noopener noreferrer">CompVis</a></td>
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<td class="tg-0pky">237k steps at resolution 256x256 on laion2B-en.<br>194k steps at resolution 512x512 on laion-high-resolution.</td>
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</tr>
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<tr>
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<td class="tg-0pky"><a href="https://huggingface.co/CompVis/stable-diffusion-v-1-2-original" target="_blank" rel="noopener noreferrer"><span style="color:#905">stable-diffusion-v1-2-original</span></a></td>
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<td class="tg-0pky"><a href="https://github.com/compvis/stable-diffusion" target="_blank" rel="noopener noreferrer"><span style="font-weight:400;font-style:normal;text-decoration:none">CompVis</span></a></td>
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<td class="tg-0pky">v1-1 plus:<br>515k steps at 512x512 on "laion-improved-aesthetics".</td>
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</tr>
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<tr>
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<td class="tg-0pky"><a href="https://huggingface.co/CompVis/stable-diffusion-v-1-3-original" target="_blank" rel="noopener noreferrer"><span style="color:#905">stable-diffusion-v1-3-original</span></a></td>
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<td class="tg-0pky"><a href="https://github.com/compvis/stable-diffusion" target="_blank" rel="noopener noreferrer"><span style="font-weight:400;font-style:normal;text-decoration:none">CompVis</span></a></td>
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<td class="tg-0pky">v1-2 plus:<br>195k steps at 512x512 on "laion-improved-aesthetics",<br>with 10% dropping of text-conditioning.</td>
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</tr>
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<tr>
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<td class="tg-0pky"><a href="https://huggingface.co/CompVis/stable-diffusion-v-1-4-original" target="_blank" rel="noopener noreferrer"><span style="color:#905">stable-diffusion-v1-4-original</span></a></td>
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<td class="tg-0pky"><a href="https://github.com/compvis/stable-diffusion" target="_blank" rel="noopener noreferrer"><span style="font-weight:400;font-style:normal;text-decoration:none">CompVis</span></a></td>
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<td class="tg-0pky"></td>
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</tr>
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</tbody>
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</table>
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