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+压缩日志 - 2025-06-08 17:31:02.256659
+总文件对数: 305373
+
+存档包 1: 包含 13630 对文件, 大小 4095.91 MB
+存档包 2: 包含 13716 对文件, 大小 4095.35 MB
+存档包 3: 包含 13618 对文件, 大小 4095.41 MB
+存档包 4: 包含 13891 对文件, 大小 4095.98 MB
+存档包 5: 包含 13470 对文件, 大小 4095.64 MB
+存档包 6: 包含 13569 对文件, 大小 4095.99 MB
+存档包 7: 包含 13743 对文件, 大小 4095.81 MB
+存档包 8: 包含 13634 对文件, 大小 4095.57 MB
+存档包 9: 包含 13540 对文件, 大小 4095.95 MB
+存档包 10: 包含 13653 对文件, 大小 4095.79 MB
+存档包 11: 包含 13609 对文件, 大小 4095.89 MB
+存档包 12: 包含 13741 对文件, 大小 4095.81 MB
+存档包 13: 包含 13619 对文件, 大小 4095.97 MB
+存档包 14: 包含 13652 对文件, 大小 4095.58 MB
+存档包 15: 包含 13615 对文件, 大小 4095.74 MB
+存档包 16: 包含 13681 对文件, 大小 4095.64 MB
+存档包 17: 包含 13600 对文件, 大小 4095.96 MB
+存档包 18: 包含 13695 对文件, 大小 4095.60 MB
+存档包 19: 包含 13556 对文件, 大小 4095.46 MB
+存档包 20: 包含 13649 对文件, 大小 4095.93 MB
+存档包 21: 包含 13611 对文件, 大小 4095.77 MB
+存档包 22: 包含 13493 对文件, 大小 4095.91 MB
+存档包 23: 包含 5388 对文件, 大小 1617.01 MB
+
+===== 总结 =====
+总存档包数: 23
+总处理文件对数: 305373
+平均每个包包含文件对数: 13277.1

sdxl-vae-fp16-fix/.gitattributes

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sdxl-vae-fp16-fix/README.md

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+---
+license: mit
+tags:
+- stable-diffusion
+- stable-diffusion-diffusers
+inference: false
+---
+# SDXL-VAE-FP16-Fix
+
+SDXL-VAE-FP16-Fix is the [SDXL VAE](https://huggingface.co/stabilityai/sdxl-vae)*, but modified to run in fp16 precision without generating NaNs.
+
+| VAE                   | Decoding in `float32` / `bfloat16` precision | Decoding in `float16` precision |
+| --------------------- | -------------------------------------------- | ------------------------------- |
+| SDXL-VAE              | ✅ ![](./images/orig-fp32.png)              | ⚠️ ![](./images/orig-fp16.png)  |
+| SDXL-VAE-FP16-Fix     | ✅ ![](./images/fix-fp32.png)               | ✅ ![](./images/fix-fp16.png)   |
+
+## 🧨 Diffusers Usage
+
+Just load this checkpoint via `AutoencoderKL`:
+
+```py
+import torch
+from diffusers import DiffusionPipeline, AutoencoderKL
+
+vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16)
+pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", vae=vae, torch_dtype=torch.float16, variant="fp16", use_safetensors=True)
+pipe.to("cuda")
+
+refiner = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-refiner-1.0", vae=vae, torch_dtype=torch.float16, use_safetensors=True, variant="fp16")
+refiner.to("cuda")
+
+n_steps = 40
+high_noise_frac = 0.7
+
+prompt = "A majestic lion jumping from a big stone at night"
+
+image = pipe(prompt=prompt, num_inference_steps=n_steps, denoising_end=high_noise_frac, output_type="latent").images
+image = refiner(prompt=prompt, num_inference_steps=n_steps, denoising_start=high_noise_frac, image=image).images[0]
+image
+```
+
+![](https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/lion_refined.png)
+
+## Automatic1111 Usage
+
+1. Download the fixed [sdxl.vae.safetensors](https://huggingface.co/madebyollin/sdxl-vae-fp16-fix/resolve/main/sdxl.vae.safetensors?download=true) file
+2. Move this `sdxl.vae.safetensors` file into the webui folder under `stable-diffusion-webui/models/VAE`
+3. In your webui settings, select the fixed VAE you just added
+4. If you were using the `--no-half-vae` command line arg for SDXL (in `webui-user.bat` or wherever), you can now remove it
+
+(Disclaimer - I haven't tested this, just aggregating various instructions I've seen elsewhere :P PRs to improve these instructions are welcomed!)
+
+## Details
+
+SDXL-VAE generates NaNs in fp16 because the internal activation values are too big:
+![](./images/activation-magnitudes.jpg)
+
+SDXL-VAE-FP16-Fix was created by finetuning the SDXL-VAE to:
+1. keep the final output the same, but
+2. make the internal activation values smaller, by
+3. scaling down weights and biases within the network
+
+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](https://huggingface.co/madebyollin/sdxl-vae-fp16-fix/discussions/7#64c5c0f8e2e5c94bd04eaa80).
+
+---
+
+\* `sdxl-vae-fp16-fix` is specifically based on [SDXL-VAE (0.9)](https://huggingface.co/stabilityai/sdxl-vae/discussions/6#64acea3f7ac35b7de0554490), but it works with SDXL 1.0 too

sdxl-vae-fp16-fix/config.json

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+  "_diffusers_version": "0.18.0.dev0",
+  "_name_or_path": ".",
+  "act_fn": "silu",
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+  ],
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+}

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+  ],
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+  ]
+}

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+}

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