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pcuenq HF staff commited on
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Add links to table

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  1. README.md +11 -10
README.md CHANGED
@@ -35,13 +35,14 @@ 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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  </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>
 
 
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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](https://huggingface.co/CompVis/stable-diffusion-v1-1) | 🤗 [Diffusers](https://github.com/huggingface/diffusers) | 237k steps at resolution 256x256 on laion2B-en. <br> 194k steps at resolution 512x512 on laion-high-resolution. |
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+ | [stable-diffusion-v1-2](https://huggingface.co/CompVis/stable-diffusion-v1-2) | 🤗 [Diffusers](https://github.com/huggingface/diffusers) | v1-1 plus: <br> 515k steps at 512x512 on "laion-improved-aesthetics". |
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+ | [stable-diffusion-v1-3](https://huggingface.co/CompVis/stable-diffusion-v1-3) | 🤗 [Diffusers](https://github.com/huggingface/diffusers) | v1-2 plus: <br> 195k steps at 512x512 on "laion-improved-aesthetics", <br> with 10% dropping of text-conditioning. |
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+ | [stable-diffusion-v1-4](https://huggingface.co/CompVis/stable-diffusion-v1-4) | 🤗 [Diffusers](https://github.com/huggingface/diffusers) | |
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+ | [stable-diffusion-v1-1-original](https://huggingface.co/CompVis/stable-diffusion-v1-1-original) | CompVis | 237k steps at resolution 256x256 on laion2B-en. <br> 194k steps at resolution 512x512 on laion-high-resolution. |
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+ | [stable-diffusion-v1-2-original](https://huggingface.co/CompVis/stable-diffusion-v1-2-original) | CompVis | v1-1 plus: <br> 515k steps at 512x512 on "laion-improved-aesthetics". |
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+ | [stable-diffusion-v1-3-original](https://huggingface.co/CompVis/stable-diffusion-v1-3-original) | CompVis | v1-2 plus: <br> 195k steps at 512x512 on "laion-improved-aesthetics", <br> with 10% dropping of text-conditioning. |
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+ | [stable-diffusion-v1-4-original](https://huggingface.co/CompVis/stable-diffusion-v1-4-original) | CompVis | |
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+ </div>