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Update README.md
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README.md
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# SDXL-VAE-FP16-Fix
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SDXL-VAE-FP16-Fix is
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---
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# SDXL-VAE-FP16-Fix
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SDXL-VAE-FP16-Fix is the [SDXL VAE](https://huggingface.co/stabilityai/sdxl-vae), but modified to run in fp16 precision without generating NaNs.
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```python
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from diffusers import DiffusionPipeline, AutoencoderKL
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import torch
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pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-0.9", torch_dtype=torch.float16, variant="fp16").to("cuda")
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fixed_vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix").half().to("cuda")
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prompt = "An astronaut riding a green horse"
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latents = pipe(prompt=prompt, output_type="latent").images
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for vae in (pipe.vae, fixed_vae):
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for dtype in (torch.float32, torch.float16):
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with torch.no_grad(), torch.cuda.amp.autocast(dtype=torch.float16, enabled=(dtype==torch.float16)):
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print(dtype, "sdxl-vae" if vae == pipe.vae else "sdxl-vae-fp16-fix")
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display(pipe.image_processor.postprocess(vae.decode(latents / vae.config.scaling_factor).sample)[0])
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```
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| VAE | Decoding in `float32` precision | Decoding in `float16` precision |
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| --------------------- | ------------------------------- | ------------------------------- |
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| SDXL-VAE | ✅  | ⚠️  |
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| SDXL-VAE-FP16-Fix | ✅  | ✅  |
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