safetensors_rust.SafetensorError: Error while deserializing header: HeaderTooLarge

[xll-ecnu]

Traceback (most recent call last):
File "/home/mlp/anaconda3/envs/echomimic2/lib/python3.10/site-packages/diffusers/models/model_loading_utils.py", line 142, in load_state_dict
return safetensors.torch.load_file(checkpoint_file, device="cpu")
File "/home/mlp/anaconda3/envs/echomimic2/lib/python3.10/site-packages/safetensors/torch.py", line 313, in load_file
with safe_open(filename, framework="pt", device=device) as f:
safetensors_rust.SafetensorError: Error while deserializing header: HeaderTooLarge

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/home/mlp/anaconda3/envs/echomimic2/lib/python3.10/site-packages/gradio/queueing.py", line 624, in process_events
response = await route_utils.call_process_api(
File "/home/mlp/anaconda3/envs/echomimic2/lib/python3.10/site-packages/gradio/route_utils.py", line 323, in call_process_api
output = await app.get_blocks().process_api(
File "/home/mlp/anaconda3/envs/echomimic2/lib/python3.10/site-packages/gradio/blocks.py", line 2015, in process_api
result = await self.call_function(
File "/home/mlp/anaconda3/envs/echomimic2/lib/python3.10/site-packages/gradio/blocks.py", line 1562, in call_function
prediction = await anyio.to_thread.run_sync( # type: ignore
File "/home/mlp/anaconda3/envs/echomimic2/lib/python3.10/site-packages/anyio/to_thread.py", line 56, in run_sync
return await get_async_backend().run_sync_in_worker_thread(
File "/home/mlp/anaconda3/envs/echomimic2/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 2505, in run_sync_in_worker_thread
return await future
File "/home/mlp/anaconda3/envs/echomimic2/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 1005, in run
result = context.run(func, *args)
File "/home/mlp/anaconda3/envs/echomimic2/lib/python3.10/site-packages/gradio/utils.py", line 865, in wrapper
response = f(*args, **kwargs)
File "/home/mlp/echomimic_v2-main/app.py", line 53, in generate
vae = AutoencoderKL.from_pretrained("./pretrained_weights/sd-vae-ft-mse").to(device, dtype=dtype)
File "/home/mlp/anaconda3/envs/echomimic2/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
return fn(*args, **kwargs)
File "/home/mlp/anaconda3/envs/echomimic2/lib/python3.10/site-packages/diffusers/models/modeling_utils.py", line 840, in from_pretrained
state_dict = load_state_dict(model_file, variant=variant)
File "/home/mlp/anaconda3/envs/echomimic2/lib/python3.10/site-packages/diffusers/models/model_loading_utils.py", line 154, in load_state_dict
raise OSError(
OSError: You seem to have cloned a repository without having git-lfs installed. Please install git-lfs and run git lfs install followed by git lfs pull in the folder you cloned.
Traceback (most recent call last):
File "/home/mlp/anaconda3/envs/echomimic2/lib/python3.10/site-packages/diffusers/models/model_loading_utils.py", line 142, in load_state_dict
return safetensors.torch.load_file(checkpoint_file, device="cpu")
File "/home/mlp/anaconda3/envs/echomimic2/lib/python3.10/site-packages/safetensors/torch.py", line 313, in load_file
with safe_open(filename, framework="pt", device=device) as f:
safetensors_rust.SafetensorError: Error while deserializing header: HeaderTooLarge

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/home/mlp/anaconda3/envs/echomimic2/lib/python3.10/site-packages/gradio/queueing.py", line 624, in process_events
response = await route_utils.call_process_api(
File "/home/mlp/anaconda3/envs/echomimic2/lib/python3.10/site-packages/gradio/route_utils.py", line 323, in call_process_api
output = await app.get_blocks().process_api(
File "/home/mlp/anaconda3/envs/echomimic2/lib/python3.10/site-packages/gradio/blocks.py", line 2015, in process_api
result = await self.call_function(
File "/home/mlp/anaconda3/envs/echomimic2/lib/python3.10/site-packages/gradio/blocks.py", line 1562, in call_function
prediction = await anyio.to_thread.run_sync( # type: ignore
File "/home/mlp/anaconda3/envs/echomimic2/lib/python3.10/site-packages/anyio/to_thread.py", line 56, in run_sync
return await get_async_backend().run_sync_in_worker_thread(
File "/home/mlp/anaconda3/envs/echomimic2/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 2505, in run_sync_in_worker_thread
return await future
File "/home/mlp/anaconda3/envs/echomimic2/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 1005, in run
result = context.run(func, *args)
File "/home/mlp/anaconda3/envs/echomimic2/lib/python3.10/site-packages/gradio/utils.py", line 865, in wrapper
response = f(*args, **kwargs)
File "/home/mlp/echomimic_v2-main/app.py", line 53, in generate
vae = AutoencoderKL.from_pretrained("./pretrained_weights/sd-vae-ft-mse").to(device, dtype=dtype)
File "/home/mlp/anaconda3/envs/echomimic2/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
return fn(*args, **kwargs)
File "/home/mlp/anaconda3/envs/echomimic2/lib/python3.10/site-packages/diffusers/models/modeling_utils.py", line 840, in from_pretrained
state_dict = load_state_dict(model_file, variant=variant)
File "/home/mlp/anaconda3/envs/echomimic2/lib/python3.10/site-packages/diffusers/models/model_loading_utils.py", line 154, in load_state_dict
raise OSError(
OSError: You seem to have cloned a repository without having git-lfs installed. Please install git-lfs and run git lfs install followed by git lfs pull in the folder you cloned.

[xll-ecnu]

I have solved this problem. This problem derives from broken weight models downloaded using huggingface_cli command. I redownload the weight models using 'git clone' command and it can run well now.