OSError: Unable to load weights from pytorch checkpoint file. If you tried to load a PyTorch model from a TF 2.0 checkpoint, please set from_tf=True.

[caojiehui]

raceback (most recent call last):
File "/home/yingjie/miniconda3/envs/dpose/lib/python3.9/site-packages/transformers/modeling_utils.py", line 442, in load_state_dict
return torch.load(checkpoint_file, map_location="cpu")
File "/home/yingjie/miniconda3/envs/dpose/lib/python3.9/site-packages/torch/serialization.py", line 797, in load
with _open_zipfile_reader(opened_file) as opened_zipfile:
File "/home/yingjie/miniconda3/envs/dpose/lib/python3.9/site-packages/torch/serialization.py", line 283, in init
super().init(torch._C.PyTorchFileReader(name_or_buffer))
RuntimeError: PytorchStreamReader failed reading zip archive: failed finding central directory

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/home/yingjie/miniconda3/envs/dpose/lib/python3.9/site-packages/transformers/modeling_utils.py", line 446, in load_state_dict
if f.read(7) == "version":
File "/home/yingjie/miniconda3/envs/dpose/lib/python3.9/codecs.py", line 322, in decode
(result, consumed) = self._buffer_decode(data, self.errors, final)
UnicodeDecodeError: 'utf-8' codec can't decode byte 0x80 in position 64: invalid start byte

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/home/yingjie/DreamPose/test.py", line 62, in
pipe = StableDiffusionImg2ImgPipeline.from_pretrained(model_id, unet=unet, torch_dtype=torch.float16, revision="fp16") #
File "/home/yingjie/miniconda3/envs/dpose/lib/python3.9/site-packages/huggingface_hub/utils/_validators.py", line 118, in _inner_fn
return fn(*args, **kwargs)
File "/home/yingjie/miniconda3/envs/dpose/lib/python3.9/site-packages/diffusers/pipelines/pipeline_utils.py", line 1271, in from_pretrained
loaded_sub_model = load_sub_model(
File "/home/yingjie/miniconda3/envs/dpose/lib/python3.9/site-packages/diffusers/pipelines/pipeline_utils.py", line 525, in load_sub_model
loaded_sub_model = load_method(os.path.join(cached_folder, name), **loading_kwargs)
File "/home/yingjie/miniconda3/envs/dpose/lib/python3.9/site-packages/transformers/modeling_utils.py", line 2560, in from_pretrained
state_dict = load_state_dict(resolved_archive_file)
File "/home/yingjie/miniconda3/envs/dpose/lib/python3.9/site-packages/transformers/modeling_utils.py", line 458, in load_state_dict
raise OSError(
OSError: Unable to load weights from pytorch checkpoint file for '/data3/chc/DreamPose/demo/custom-chkpts/checkpoint-499/safety_checker/pytorch_model.bin' at '/data3/chc/DreamPose/demo/custom-chkpts/checkpoint-499/safety_checker/pytorch_model.bin'. If you tried to load a PyTorch model from a TF 2.0 checkpoint, please set from_tf=True.