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Update README.md

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@@ -29,6 +29,8 @@ checkpoint and subsequently fine-tuned on 515,000 steps at resolution `512x512`
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  filtered to images with an original size `>= 512x512`, estimated aesthetics score `> 5.0`, and an estimated watermark probability `< 0.5`.
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  For more information, please refer to [Training](#training).
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  ## Model Details
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  - **Developed by:** Robin Rombach, Patrick Esser
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  - **Model type:** Diffusion-based text-to-image generation model
 
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  filtered to images with an original size `>= 512x512`, estimated aesthetics score `> 5.0`, and an estimated watermark probability `< 0.5`.
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  For more information, please refer to [Training](#training).
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+ This weights here are intended to be used with the D🧨iffusers library. If you are looking for the weights to be loaded into the CompVis Stable Diffusion codebase, [come here](https://huggingface.co/CompVis/stable-diffusion-v-1-2-original)
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  ## Model Details
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  - **Developed by:** Robin Rombach, Patrick Esser
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  - **Model type:** Diffusion-based text-to-image generation model