• 【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(, '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(, '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 "", 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.
    
    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(
    

    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)
    

    继续寻找:
    果然,我们看到了一个 增强函数 “hf_hub_download_wrapper_inner”

    File "", line 52, in hf_hub_download_wrapper_inner
    

    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,
    

    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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  • 原文地址:https://blog.csdn.net/qq_43768851/article/details/139362334