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liasece / sd-webui-train-tools

The stable diffusion webui training aid extension helps you quickly and visually train models such as Lora.
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UnboundLocalError: local variable 'train_name' referenced before assignment #40

Closed xiaxiaxiaxia closed 10 months ago

xiaxiaxiaxia commented 11 months ago

Train Tools: get_project_list: outputs\train_tools\projects\hangge Train Tools: get_project_version_list: outputs\train_tools\projects\hangge\versions\1.0 Train Tools: ui_refresh_project: ['hangge'] Train Tools: on_ui_change_project_version_click: hangge 1.0 Train Tools: on_ui_change_project_click: hangge Train Tools: get_project_version_list: outputs\train_tools\projects\hangge\versions\1.0 Train Tools: unknown base model Train Tools: unknown base model Train Tools: unknown base model Train Tools: unknown base model Error completing request Arguments: ('task(e1euh7udxusotk0)', 'hangge', '1.0', None, 1.0, 20.0, 500.0, False, ['Lion'], '0.0002,0.0003,0.0004,0.0005', 128.0, 64.0, 500.0, 'fp16', True, False, False, 'best quality,Amazing,finely detail,extremely detailed CG unity 8k wallpaper', 'low quality', ['Euler a'], '28', 512, 512, 1, 1, '10', '-1', '0.6,0.7,0.8,1') {} Traceback (most recent call last): File "D:\happy\stable-diffusion-webui\modules\call_queue.py", line 58, in f res = list(func(*args, *kwargs)) File "D:\happy\stable-diffusion-webui\modules\call_queue.py", line 37, in f res = func(args, **kwargs) File "D:\happy\stable-diffusion-webui\extensions\sd-webui-train-tools\liasece_sd_webui_train_tools\train_ui.py", line 147, in on_train_begin_click return [None]+gr_update_trains_area_list(project, version, train_name)+["done"] UnboundLocalError: local variable 'train_name' referenced before assignment

Traceback (most recent call last): File "D:\happy\stable-diffusion-webui\venv\lib\site-packages\gradio\routes.py", line 422, in run_predict output = await app.get_blocks().process_api( File "D:\happy\stable-diffusion-webui\venv\lib\site-packages\gradio\blocks.py", line 1326, in process_api data = self.postprocess_data(fn_index, result["prediction"], state) File "D:\happy\stable-diffusion-webui\venv\lib\site-packages\gradio\blocks.py", line 1257, in postprocess_data assert isinstance( AssertionError: <class 'gradio.layouts.Box'> Component with id 1491 not a valid output component.

jingzhengli commented 11 months ago

I have the same error with you

liasece commented 11 months ago

same #43

liasece commented 10 months ago

fixed