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  1. README.md +3 -2
README.md CHANGED
@@ -19,9 +19,10 @@ SDXL-VAE-FP16-Fix is the [SDXL VAE](https://huggingface.co/stabilityai/sdxl-vae)
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  Just load this checkpoint via `AutoencoderKL`:
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  ```py
 
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  from diffusers import DiffusionPipeline, AutoencoderKL
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- vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16, force_upcast=True)
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  pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-0.9", vae=vae, torch_dtype=torch.float16, variant="fp16", use_safetensors=True)
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  pipe.to("cuda")
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@@ -39,4 +40,4 @@ SDXL-VAE-FP16-Fix was created by finetuning the SDXL-VAE to:
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  2. make the internal activation values smaller, by
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  3. scaling down weights and biases within the network
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- There are slight discrepancies between the output of SDXL-VAE-FP16-Fix and SDXL-VAE, but the decoded images should be close enough for most purposes.
 
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  Just load this checkpoint via `AutoencoderKL`:
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  ```py
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+ import torch
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  from diffusers import DiffusionPipeline, AutoencoderKL
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+ vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16)
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  pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-0.9", vae=vae, torch_dtype=torch.float16, variant="fp16", use_safetensors=True)
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  pipe.to("cuda")
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  2. make the internal activation values smaller, by
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  3. scaling down weights and biases within the network
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+ There are slight discrepancies between the output of SDXL-VAE-FP16-Fix and SDXL-VAE, but the decoded images should be close enough for most purposes.