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【StableDiffusion秋叶包反斜杠问题】Failed to find xxx\sd-webui-aki-v4.8\...\xxx.pth

【StableDiffusion秋叶包反斜杠问题】Failed to find xxx\sd-webui-aki-v4.8\...\xxx.pth

一、问题发生

1.在我额外安装预处理器时报错

意思是没办法找到有这么一个包(但我已经把这个包扔进去了)

在这里插入图片描述

完整报错:

Failed to find S:\app_AI\stableDiffusion-webui-aki\sd-webui-aki-v4.8\extensions\sd-webui-controlnet\annotator\downloads\hand_refiner\hr16/ControlNet-HandRefiner-pruned\hrnetv2_w64_imagenet_pretrained.pth.
 Downloading from huggingface.co
'HTTPSConnectionPool(host='huggingface.co', port=443): Max retries exceeded with url: /hr16/ControlNet-HandRefiner-pruned/resolve/main/hrnetv2_w64_imagenet_pretrained.pth (Caused by ConnectTimeoutError(<urllib3.connection.HTTPSConnection object at 0x000001B68B6B5930>, 'Connection to huggingface.co timed out. (connect timeout=100)'))' thrown while requesting HEAD https://huggingface.co/hr16/ControlNet-HandRefiner-pruned/resolve/main/hrnetv2_w64_imagenet_pretrained.pth
WARNING:huggingface_hub.utils._http:'HTTPSConnectionPool(host='huggingface.co', port=443): Max retries exceeded with url: /hr16/ControlNet-HandRefiner-pruned/resolve/main/hrnetv2_w64_imagenet_pretrained.pth (Caused by ConnectTimeoutError(<urllib3.connection.HTTPSConnection object at 0x000001B68B6B5930>, 'Connection to huggingface.co timed out. (connect timeout=100)'))' thrown while requesting HEAD https://huggingface.co/hr16/ControlNet-HandRefiner-pruned/resolve/main/hrnetv2_w64_imagenet_pretrained.pth
Traceback (most recent call last):
  File "S:\app_AI\stableDiffusion-webui-aki\sd-webui-aki-v4.8\python\lib\site-packages\gradio\routes.py", line 488, in run_predict
    output = await app.get_blocks().process_api(
  File "S:\app_AI\stableDiffusion-webui-aki\sd-webui-aki-v4.8\python\lib\site-packages\gradio\blocks.py", line 1431, in process_api
    result = await self.call_function(
  File "S:\app_AI\stableDiffusion-webui-aki\sd-webui-aki-v4.8\python\lib\site-packages\gradio\blocks.py", line 1103, in call_function
    prediction = await anyio.to_thread.run_sync(
  File "S:\app_AI\stableDiffusion-webui-aki\sd-webui-aki-v4.8\python\lib\site-packages\anyio\to_thread.py", line 31, in run_sync
    return await get_asynclib().run_sync_in_worker_thread(
  File "S:\app_AI\stableDiffusion-webui-aki\sd-webui-aki-v4.8\python\lib\site-packages\anyio\_backends\_asyncio.py", line 937, in run_sync_in_worker_thread
    return await future
  File "S:\app_AI\stableDiffusion-webui-aki\sd-webui-aki-v4.8\python\lib\site-packages\anyio\_backends\_asyncio.py", line 867, in run
    result = context.run(func, *args)
  File "S:\app_AI\stableDiffusion-webui-aki\sd-webui-aki-v4.8\python\lib\site-packages\gradio\utils.py", line 707, in wrapper
    response = f(*args, **kwargs)
  File "S:\app_AI\stableDiffusion-webui-aki\sd-webui-aki-v4.8\extensions\sd-webui-controlnet\scripts\controlnet_ui\controlnet_ui_group.py", line 939, in run_annotator
    result = preprocessor.cached_call(
  File "S:\app_AI\stableDiffusion-webui-aki\sd-webui-aki-v4.8\extensions\sd-webui-controlnet\scripts\utils.py", line 81, in decorated_func
    return cached_func(*args, **kwargs)
  File "S:\app_AI\stableDiffusion-webui-aki\sd-webui-aki-v4.8\extensions\sd-webui-controlnet\scripts\utils.py", line 65, in cached_func
    return func(*args, **kwargs)
  File "S:\app_AI\stableDiffusion-webui-aki\sd-webui-aki-v4.8\extensions\sd-webui-controlnet\scripts\supported_preprocessor.py", line 172, in cached_call
    return self(*args, **kwargs)
  File "S:\app_AI\stableDiffusion-webui-aki\sd-webui-aki-v4.8\extensions\sd-webui-controlnet\scripts\preprocessor\legacy\legacy_preprocessors.py", line 97, in __call__
    result, is_image = self.call_function(
  File "S:\app_AI\stableDiffusion-webui-aki\sd-webui-aki-v4.8\extensions\sd-webui-controlnet\scripts\preprocessor\legacy\processor.py", line 793, in run_model
    self.load_model()
  File "S:\app_AI\stableDiffusion-webui-aki\sd-webui-aki-v4.8\extensions\sd-webui-controlnet\scripts\preprocessor\legacy\processor.py", line 779, in load_model
    self.model = MeshGraphormerDetector.from_pretrained(
  File "S:\app_AI\stableDiffusion-webui-aki\sd-webui-aki-v4.8\python\lib\site-packages\hand_refiner\__init__.py", line 15, in from_pretrained
    args.hrnet_checkpoint = custom_hf_download(pretrained_model_or_path, hrnet_filename, cache_dir)
  File "S:\app_AI\stableDiffusion-webui-aki\sd-webui-aki-v4.8\python\lib\site-packages\hand_refiner\util.py", line 178, in custom_hf_download
    model_path = hf_hub_download(repo_id=pretrained_model_or_path,
  File "<enhanced_experience patches.hfmirror.huggingface_hub>", line 52, in hf_hub_download_wrapper_inner
  File "S:\app_AI\stableDiffusion-webui-aki\sd-webui-aki-v4.8\python\lib\site-packages\huggingface_hub\utils\_validators.py", line 120, in _inner_fn
    return fn(*args, **kwargs)
  File "S:\app_AI\stableDiffusion-webui-aki\sd-webui-aki-v4.8\python\lib\site-packages\huggingface_hub\file_download.py", line 1291, in hf_hub_download
    raise LocalEntryNotFoundError(
huggingface_hub.utils._errors.LocalEntryNotFoundError: Connection error, and we cannot find the requested files in the disk cache. Please try again or make sure your Internet connection is on.
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2.问题原因

看看这里,为什么反斜杠突然变成了 “/” ?
这种路径能找到才怪了

在这里插入图片描述


二、解决办法

1.寻找报错位置

抛出异常
能看到是在这个 hf_hub_download 函数中抛出的异常。

File "S:\app_AI\stableDiffusion-webui-aki\sd-webui-aki-v4.8\python\lib\site-packages\huggingface_hub\file_download.py", line 1291, in hf_hub_download
    raise LocalEntryNotFoundError(
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继续寻找:
可以看到这个函数 _inner_fn,它很有可能是一个 inner_wrapper

File "S:\app_AI\stableDiffusion-webui-aki\sd-webui-aki-v4.8\python\lib\site-packages\huggingface_hub\utils\_validators.py", line 120, in _inner_fn
    return fn(*args, **kwargs)
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继续寻找:
果然,我们看到了一个 增强函数 “hf_hub_download_wrapper_inner”

File "<enhanced_experience patches.hfmirror.huggingface_hub>", line 52, in hf_hub_download_wrapper_inner
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继续寻找:
我们发现了要寻找的包含 “路径”参数 的第一个函数 hf_hub_download
接下来直奔这个文件,寻找此函数,能够清晰看到它使用了 “ / ” 作为 split 分隔

File "S:\app_AI\stableDiffusion-webui-aki\sd-webui-aki-v4.8\python\lib\site-packages\hand_refiner\util.py", line 178, in custom_hf_download
  model_path = hf_hub_download(repo_id=pretrained_model_or_path,
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在这里插入图片描述

2.开始解决

更改 “ / ” 为 “ \\”,即可解决问题(转义字符,必须来两个 \ ,不用我说了吧)
如图所示:

在这里插入图片描述

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