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@@ -21,7 +21,7 @@ We host public weights for Latent Diffusion and Stable Diffusion models. There a
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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 <a href="https://hf.co/blog/stable_diffusion">🤗's Stable Diffusion with 🧨 Diffusers blog.
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@@ -35,14 +35,13 @@ We recommend you use Stable Diffusion with <a href="https://github.com/huggingfa
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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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- | Model | Library | Details |
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- |--------------------------------|-------------|------------------------------------------------------------------------------------------------------------|
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- | [stable-diffusion-v1-1](https://huggingface.co/CompVis/stable-diffusion-v1-1) | 🤗 Diffusers | 237k steps at resolution 256x256 on laion2B-en. 194k steps at resolution 512x512 on laion-high-resolution. |
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  | stable-diffusion-v1-2 | Diffusers | v1-1 plus: 515k steps at 512x512 on "laion-improved-aesthetics". |
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  | stable-diffusion-v1-3 | Diffusers | v1-2 plus: 195k steps at 512x512 on "laion-improved-aesthetics",with 10% dropping of text-conditioning. |
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  | stable-diffusion-v1-4 | Diffusers | |
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  | stable-diffusion-v1-1-original | CompVis | 237k steps at resolution 256x256 on laion2B-en. 194k steps at resolution 512x512 on laion-high-resolution. |
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  | stable-diffusion-v1-2-original | CompVis | v1-1 plus: 515k steps at 512x512 on "laion-improved-aesthetics". |
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  | stable-diffusion-v1-3-original | CompVis | v1-2 plus: 195k steps at 512x512 on "laion-improved-aesthetics", with 10% dropping of text-conditioning. |
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- | stable-diffusion-v1-4-original | CompVis | |
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- </div>
 
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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 <a href="https://hf.co/blog/stable_diffusion">🤗's Stable Diffusion with 🧨 Diffusers blog</a>.
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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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+ | Model | Library | Details |
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+ |--------------------------------|------------|------------------------------------------------------------------------------------------------------------|
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+ | stable-diffusion-v1-1 | 🤗Diffusers | 237k steps at resolution 256x256 on laion2B-en. 194k steps at resolution 512x512 on laion-high-resolution. |
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  | stable-diffusion-v1-2 | Diffusers | v1-1 plus: 515k steps at 512x512 on "laion-improved-aesthetics". |
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  | stable-diffusion-v1-3 | Diffusers | v1-2 plus: 195k steps at 512x512 on "laion-improved-aesthetics",with 10% dropping of text-conditioning. |
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  | stable-diffusion-v1-4 | Diffusers | |
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  | stable-diffusion-v1-1-original | CompVis | 237k steps at resolution 256x256 on laion2B-en. 194k steps at resolution 512x512 on laion-high-resolution. |
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  | stable-diffusion-v1-2-original | CompVis | v1-1 plus: 515k steps at 512x512 on "laion-improved-aesthetics". |
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  | stable-diffusion-v1-3-original | CompVis | v1-2 plus: 195k steps at 512x512 on "laion-improved-aesthetics", with 10% dropping of text-conditioning. |
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+ | stable-diffusion-v1-4-original | CompVis | |</div>