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- Offline DM: [SD v2.1 base](https://huggingface.co/stabilityai/stable-diffusion-2-1-base)
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- VAE: [TAESD](https://huggingface.co/madebyollin/taesd)
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There is a third-party [Demo](https://huggingface.co/spaces/ameerazam08/SDXS-GPU-Demo) from @ameerazam08. We'll provide an official demo when 1.0 is officially released, which hopefully won't be long.
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- Offline DM: [SD v2.1 base](https://huggingface.co/stabilityai/stable-diffusion-2-1-base)
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- VAE: [TAESD](https://huggingface.co/madebyollin/taesd)
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The main differences between this model and version 1.0 are in three aspects:
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1. This version employs TAESD, which may produce low-quality images when weight_type is float16. Our image decoder is not compatible with the current version of diffusers, so it will not be provided now..
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2. This version did not perform the LoRA-GAN finetune mentioned in the implementation details section, which make the generated images, which may result in slightly inferior image details.
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3. This version replaces self-attention with cross-attention in the highest resolution stages, which introduces minimal overhead compared to directly removing all Transformer layers.
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There is a third-party [Demo](https://huggingface.co/spaces/ameerazam08/SDXS-GPU-Demo) from @ameerazam08. We'll provide an official demo when 1.0 is officially released, which hopefully won't be long.
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