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Update README.md

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@@ -10,7 +10,10 @@ with a CLIP-conditioned eps MSE loss for better expressiveness in some instances
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  Uses [OpenAI's CLIP ViT-b/16](https://github.com/openai/CLIP).
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- Requires specific inference code to work at all -- vanilla CFG inference oversteps & oversaturates it. May worsen FID; somebody ought to measure that.
 
 
 
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  License for weights & code (aside from all applicable inheritance from SD 2.1 & other code bases' licenses) is simple:
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  * If you want to use this as a user, just use good judgement and don't hold me liable;
 
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  Uses [OpenAI's CLIP ViT-b/16](https://github.com/openai/CLIP).
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+ Requires specific inference code to work at all -- vanilla CFG inference oversteps & oversaturates it,
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+ and using all ControlNet layers does so as well.
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+ Finetuning this way may worsen FID while obviously improving CLIP score; somebody ought to measure that.
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  License for weights & code (aside from all applicable inheritance from SD 2.1 & other code bases' licenses) is simple:
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  * If you want to use this as a user, just use good judgement and don't hold me liable;