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Add variants description to model card (#2)

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  1. README.md +15 -1
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@@ -18,7 +18,21 @@ The **Stable-Diffusion-v1-5** checkpoint was initialized with the weights of the
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  checkpoint and subsequently fine-tuned on 595k steps at resolution 512x512 on "laion-aesthetics v2 5+" and 10% dropping of the text-conditioning to improve [classifier-free guidance sampling](https://arxiv.org/abs/2207.12598).
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- These weights here have been converted to Core ML for use on Apple Silicon hardware. Please, refer to https://huggingface.co/blog/diffusers-coreml for details.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  If you need weights for the 🧨 Diffusers library, please [visit this model instead](https://huggingface.co/runwayml/stable-diffusion-v1-5).
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  checkpoint and subsequently fine-tuned on 595k steps at resolution 512x512 on "laion-aesthetics v2 5+" and 10% dropping of the text-conditioning to improve [classifier-free guidance sampling](https://arxiv.org/abs/2207.12598).
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+ These weights here have been converted to Core ML for use on Apple Silicon hardware.
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+
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+ There are 4 variants of the Core ML weights:
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+
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+ ```
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+ coreml-stable-diffusion-v1-5
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+ β”œβ”€β”€ original
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+ β”‚ β”œβ”€β”€ compiled # Swift inference, "original" attention
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+ β”‚ └── packages # Python inference, "original" attention
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+ └── split_einsum
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+ β”œβ”€β”€ compiled # Swift inference, "split_einsum" attention
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+ └── packages # Python inference, "split_einsum" attention
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+ ```
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+
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+ Please, refer to https://huggingface.co/blog/diffusers-coreml for details.
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  If you need weights for the 🧨 Diffusers library, please [visit this model instead](https://huggingface.co/runwayml/stable-diffusion-v1-5).
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