运行gradio app报错 #10
Description
Traceback (most recent call last):
File "D:\conda\envs\zenctrl\lib\site-packages\gradio\queueing.py", line 625, in process_events
response = await route_utils.call_process_api(
File "D:\conda\envs\zenctrl\lib\site-packages\gradio\route_utils.py", line 322, in call_process_api
output = await app.get_blocks().process_api(
File "D:\conda\envs\zenctrl\lib\site-packages\gradio\blocks.py", line 2146, in process_api
result = await self.call_function(
File "D:\conda\envs\zenctrl\lib\site-packages\gradio\blocks.py", line 1664, in call_function
prediction = await anyio.to_thread.run_sync( # type: ignore
File "D:\conda\envs\zenctrl\lib\site-packages\anyio\to_thread.py", line 56, in run_sync
return await get_async_backend().run_sync_in_worker_thread(
File "D:\conda\envs\zenctrl\lib\site-packages\anyio_backends_asyncio.py", line 2470, in run_sync_in_worker_thread
return await future
File "D:\conda\envs\zenctrl\lib\site-packages\anyio_backends_asyncio.py", line 967, in run
result = context.run(func, *args)
File "D:\conda\envs\zenctrl\lib\site-packages\gradio\utils.py", line 884, in wrapper
response = f(*args, **kwargs)
File "E:\ZenCtrl\app.py", line 256, in _run
pipe = get_pipeline()
File "E:\ZenCtrl\app.py", line 156, in get_pipeline
init_pipeline() # safe here – this fn is @spaces.GPU wrapped
File "E:\ZenCtrl\app.py", line 29, in init_pipeline
transformer_model = FluxTransformer2DModel.from_pretrained(
File "D:\conda\envs\zenctrl\lib\site-packages\huggingface_hub\utils_validators.py", line 114, in _inner_fn
return fn(*args, **kwargs)
File "D:\conda\envs\zenctrl\lib\site-packages\diffusers\models\modeling_utils.py", line 886, in from_pretrained
accelerate.load_checkpoint_and_dispatch(
File "D:\conda\envs\zenctrl\lib\site-packages\accelerate\big_modeling.py", line 617, in load_checkpoint_and_dispatch
load_checkpoint_in_model(
File "D:\conda\envs\zenctrl\lib\site-packages\accelerate\utils\modeling.py", line 1915, in load_checkpoint_in_model
loaded_checkpoint = load_state_dict(checkpoint_file, device_map=device_map)
File "D:\conda\envs\zenctrl\lib\site-packages\accelerate\utils\modeling.py", line 1707, in load_state_dict
return torch.load(checkpoint_file, map_location=torch.device("cpu"))
File "D:\conda\envs\zenctrl\lib\site-packages\torch\serialization.py", line 1524, in load
raise pickle.UnpicklingError(_get_wo_message(str(e))) from None
_pickle.UnpicklingError: Weights only load failed. This file can still be loaded, to do so you have two options, do those steps only if you trust the source of the checkpoint.
(1) In PyTorch 2.6, we changed the default value of the weights_only argument in torch.load from False to True. Re-running torch.load with weights_only set to False will likely succeed, but it can result in arbitrary code execution. Do it only if you got the file from a trusted source.
(2) Alternatively, to load with weights_only=True please check the recommended steps in the following error message.
WeightsUnpickler error: Unsupported global: GLOBAL torchao.dtypes.affine_quantized_tensor.AffineQuantizedTensor was not an allowed global by default. Please use torch.serialization.add_safe_globals([torchao.dtypes.affine_quantized_tensor.AffineQuantizedTensor]) or the torch.serialization.safe_globals([torchao.dtypes.affine_quantized_tensor.AffineQuantizedTensor]) context manager to allowlist this global if you trust this class/function.