Issue with openpose

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Hi,
I'm having an issue using openpose in controlNet, other models work well but that one throws an error whenever I try to load any of the openpose annotators

`2023-06-07 19:29:51,330 - ControlNet - INFO - Loading model: control_v11p_sd15_openpose [cab727d4]
2023-06-07 19:29:52,033 - ControlNet - INFO - Loaded state_dict from [C:\Users\flow workstation 2\stable-diffusion-webui\extensions\sd-webui-controlnet\models\control_v11p_sd15_openpose.pth]
2023-06-07 19:29:52,034 - ControlNet - INFO - Loading config: C:\Users\flow workstation 2\stable-diffusion-webui\extensions\sd-webui-controlnet\models\control_v11p_sd15_openpose.yaml
2023-06-07 19:29:55,878 - ControlNet - INFO - ControlNet model control_v11p_sd15_openpose [cab727d4] loaded.
2023-06-07 19:29:56,034 - ControlNet - INFO - Loading preprocessor: openpose_full
2023-06-07 19:29:56,035 - ControlNet - INFO - preprocessor resolution = 512
Error running process: C:\Users\flow workstation 2\stable-diffusion-webui\extensions\sd-webui-controlnet\scripts\controlnet.py
Traceback (most recent call last):
File "C:\Users\flow workstation 2\stable-diffusion-webui\modules\scripts.py", line 451, in process
script.process(p, *script_args)
File "C:\Users\flow workstation 2\stable-diffusion-webui\extensions\sd-webui-controlnet\scripts\controlnet.py", line 786, in process
detected_map, is_image = preprocessor(input_image, res=preprocessor_resolution, thr_a=unit.threshold_a, thr_b=unit.threshold_b)
File "C:\Users\flow workstation 2\stable-diffusion-webui\extensions\sd-webui-controlnet\scripts\utils.py", line 76, in decorated_func
return cached_func(*args, **kwargs)
File "C:\Users\flow workstation 2\stable-diffusion-webui\extensions\sd-webui-controlnet\scripts\utils.py", line 64, in cached_func
return func(*args, **kwargs)
File "C:\Users\flow workstation 2\stable-diffusion-webui\extensions\sd-webui-controlnet\scripts\global_state.py", line 35, in unified_preprocessor
return preprocessor_modules[preprocessor_name](*args, **kwargs)
File "C:\Users\flow workstation 2\stable-diffusion-webui\extensions\sd-webui-controlnet\scripts\processor.py", line 251, in run_model
return remove_pad(self.model_openpose(
File "C:\Users\flow workstation 2\stable-diffusion-webui\extensions\sd-webui-controlnet\annotator\openpose\__init__.py", line 324, in __call__
poses = self.detect_poses(oriImg, include_hand, include_face)
File "C:\Users\flow workstation 2\stable-diffusion-webui\extensions\sd-webui-controlnet\annotator\openpose\__init__.py", line 268, in detect_poses
self.load_model()
File "C:\Users\flow workstation 2\stable-diffusion-webui\extensions\sd-webui-controlnet\annotator\openpose\__init__.py", line 203, in load_model
self.hand_estimation = Hand(hand_modelpath)
File "C:\Users\flow workstation 2\stable-diffusion-webui\extensions\sd-webui-controlnet\annotator\openpose\hand.py", line 21, in __init__
model_dict = util.transfer(self.model, torch.load(model_path))
File "C:\Users\flow workstation 2\stable-diffusion-webui\modules\safe.py", line 107, in load
return load_with_extra(filename, *args, extra_handler=global_extra_handler, **kwargs)
File "C:\Users\flow workstation 2\stable-diffusion-webui\modules\safe.py", line 152, in load_with_extra
return unsafe_torch_load(filename, *args, **kwargs)
File "C:\Users\flow workstation 2\stable-diffusion-webui\venv\lib\site-packages\torch\serialization.py", line 795, in load
return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args)
File "C:\Users\flow workstation 2\stable-diffusion-webui\venv\lib\site-packages\torch\serialization.py", line 1020, in _legacy_load
typed_storage._storage._set_from_file(
RuntimeError: unexpected EOF, expected 15718 more bytes. The file might be corrupted.`

Any idea what I cando to correct the issue?

Thanks in advance

Start with annotator/openpose/__init__.py and annotator/openpose/hand.py, following the model load through modules/safe.py and PyTorch serialization. Reproduce the openpose annotator failure and verify which model file is being loaded; completion would require a confirmed cause and a documented or tested correction, but the issue does not specify a requested code change.

Written by the indexing model from the issue text.