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 # SDXL 1.0-base Model Card (Core ML, 4.04-bit for iOS)
-This model was generated by Hugging Face using [Apple’s repository](https://github.com/apple/ml-stable-diffusion) which has [ASCL](https://github.com/apple/ml-stable-diffusion/blob/main/LICENSE.md). This version contains Core ML weights with the `ORIGINAL` attention implementation, suitable for running on macOS GPUs.
 This version uses 4.04 mixed-bit palettization and generates images with a resolution of 768×768. It uses `SPLIT_EINSUM` attention and is intended for use in iOS/iPadOS 17 or better. It also uses a version of the VAE decoder [created by `@madebyollin`](https://huggingface.co/madebyollin/sdxl-vae-fp16-fix), which allows running using 16-bit precision and helps keep the memory footprint contained.

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 # SDXL 1.0-base Model Card (Core ML, 4.04-bit for iOS)
+This model was generated by Hugging Face using [Apple’s repository](https://github.com/apple/ml-stable-diffusion) which has [ASCL](https://github.com/apple/ml-stable-diffusion/blob/main/LICENSE.md).
 This version uses 4.04 mixed-bit palettization and generates images with a resolution of 768×768. It uses `SPLIT_EINSUM` attention and is intended for use in iOS/iPadOS 17 or better. It also uses a version of the VAE decoder [created by `@madebyollin`](https://huggingface.co/madebyollin/sdxl-vae-fp16-fix), which allows running using 16-bit precision and helps keep the memory footprint contained.