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removed duplicate run_preprocess.click by creating run_preprocess_inputs list and appending deepbooru variable to input list if in scope

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JC_Array 2022-10-10 03:23:24 -05:00
parent 1f92336be7
commit 8ec069e64d
1 changed files with 17 additions and 32 deletions
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49
modules/ui.py
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@ -1089,40 +1089,25 @@ def create_ui(wrap_gradio_gpu_call):
]
)
run_preprocess_inputs = [
process_src,
process_dst,
process_flip,
process_split,
process_caption,
]
if cmd_opts.deepdanbooru:
# if process_caption_deepbooru is None, it will cause an error, as a result only include it if it is enabled
run_preprocess.click(
fn=wrap_gradio_gpu_call(modules.textual_inversion.ui.preprocess, extra_outputs=[gr.update()]),
_js="start_training_textual_inversion",
inputs=[
process_src,
process_dst,
process_flip,
process_split,
process_caption,
process_caption_deepbooru,
],
outputs=[
ti_output,
ti_outcome,
],
)
else:
run_preprocess.click(
fn=wrap_gradio_gpu_call(modules.textual_inversion.ui.preprocess, extra_outputs=[gr.update()]),
_js="start_training_textual_inversion",
inputs=[
process_src,
process_dst,
process_flip,
process_split,
process_caption,
],
outputs=[
ti_output,
ti_outcome,
],
)
run_preprocess_inputs.append(process_caption_deepbooru)
run_preprocess.click(
fn=wrap_gradio_gpu_call(modules.textual_inversion.ui.preprocess, extra_outputs=[gr.update()]),
_js="start_training_textual_inversion",
inputs=run_preprocess_inputs,
outputs=[
ti_output,
ti_outcome,
],
)
train_embedding.click(
fn=wrap_gradio_gpu_call(modules.textual_inversion.ui.train_embedding, extra_outputs=[gr.update()]),