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File "D:\00AI\facechain2.0.0\python310\lib\site-packages\gradio\queueing.py", line 407, in call_prediction
output = await route_utils.call_process_api(
File "D:\00AI\facechain2.0.0\python310\lib\site-packages\gradio\route_utils.py", line 226, in call_process_api
output = await app.get_blocks().process_api(
File "D:\00AI\facechain2.0.0\python310\lib\site-packages\gradio\blocks.py", line 1550, in process_api
result = await self.call_function(
File "D:\00AI\facechain2.0.0\python310\lib\site-packages\gradio\blocks.py", line 1185, in call_function
prediction = await anyio.to_thread.run_sync(
File "D:\00AI\facechain2.0.0\python310\lib\site-packages\anyio\to_thread.py", line 56, in run_sync
return await get_async_backend().run_sync_in_worker_thread(
File "D:\00AI\facechain2.0.0\python310\lib\site-packages\anyio\_backends\_asyncio.py", line 2144, in run_sync_in_worker_thread
return await future
File "D:\00AI\facechain2.0.0\python310\lib\site-packages\anyio\_backends\_asyncio.py", line 851, in run
result = context.run(func, *args)
File "D:\00AI\facechain2.0.0\python310\lib\site-packages\gradio\utils.py", line 661, in wrapper
response = f(*args, **kwargs)
File "D:\00AI\facechain2.0.0\app.py", line 804, in run
train_lora_fn(base_model_path=base_model_path,
File "D:\00AI\facechain2.0.0\app.py", line 150, in train_lora_fn
raise gr.Error("训练失败 (Training failed)")
gradio.exceptions.Error: '训练失败 (Training failed)'
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