Add variants description to model card (#2)
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README.md
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@@ -16,7 +16,21 @@ The model is trained from scratch 550k steps at resolution `256x256` on a subset
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These weights here have been converted to Core ML for use on Apple Silicon hardware.
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- Use it with 𧨠[`diffusers`](https://huggingface.co/stabilityai/stable-diffusion-2-base#examples)
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- Use it with the [`stablediffusion`](https://github.com/Stability-AI/stablediffusion) repository: download the `512-base-ema.ckpt` [here](https://huggingface.co/stabilityai/stable-diffusion-2-base/resolve/main/512-base-ema.ckpt).
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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-2-base
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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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- Use it with 𧨠[`diffusers`](https://huggingface.co/stabilityai/stable-diffusion-2-base#examples)
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- Use it with the [`stablediffusion`](https://github.com/Stability-AI/stablediffusion) repository: download the `512-base-ema.ckpt` [here](https://huggingface.co/stabilityai/stable-diffusion-2-base/resolve/main/512-base-ema.ckpt).
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