Add variants description to model card (#2)
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README.md
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@@ -17,7 +17,21 @@ For more information about how Stable Diffusion functions, please have a look at
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The **Stable-Diffusion-v1-4** checkpoint was initialized with the weights of the [Stable-Diffusion-v1-2](https:/steps/huggingface.co/CompVis/stable-diffusion-v1-2)
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checkpoint and subsequently fine-tuned on 225k 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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If you need weights for the 𧨠Diffusers library, please [visit this model instead](https://huggingface.co/CompVis/stable-diffusion-v1-4).
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The **Stable-Diffusion-v1-4** checkpoint was initialized with the weights of the [Stable-Diffusion-v1-2](https:/steps/huggingface.co/CompVis/stable-diffusion-v1-2)
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checkpoint and subsequently fine-tuned on 225k 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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There are 4 variants of the Core ML weights:
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```
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coreml-stable-diffusion-v1-4
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βββ original
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β βββ compiled # Swift inference, "original" attention
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β βββ packages # Python inference, "original" attention
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βββ split_einsum
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βββ compiled # Swift inference, "split_einsum" attention
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βββ packages # Python inference, "split_einsum" attention
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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 𧨠Diffusers library, please [visit this model instead](https://huggingface.co/CompVis/stable-diffusion-v1-4).
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