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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1f92336be7
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@ -1089,40 +1089,25 @@ def create_ui(wrap_gradio_gpu_call):
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]
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)
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run_preprocess_inputs = [
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process_src,
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process_dst,
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process_flip,
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process_split,
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process_caption,
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]
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if cmd_opts.deepdanbooru:
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# if process_caption_deepbooru is None, it will cause an error, as a result only include it if it is enabled
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run_preprocess.click(
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fn=wrap_gradio_gpu_call(modules.textual_inversion.ui.preprocess, extra_outputs=[gr.update()]),
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_js="start_training_textual_inversion",
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inputs=[
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process_src,
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process_dst,
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process_flip,
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process_split,
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process_caption,
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process_caption_deepbooru,
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],
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outputs=[
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ti_output,
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ti_outcome,
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],
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)
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else:
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run_preprocess.click(
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fn=wrap_gradio_gpu_call(modules.textual_inversion.ui.preprocess, extra_outputs=[gr.update()]),
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_js="start_training_textual_inversion",
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inputs=[
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process_src,
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process_dst,
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process_flip,
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process_split,
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process_caption,
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],
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outputs=[
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ti_output,
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ti_outcome,
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],
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)
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run_preprocess_inputs.append(process_caption_deepbooru)
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run_preprocess.click(
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fn=wrap_gradio_gpu_call(modules.textual_inversion.ui.preprocess, extra_outputs=[gr.update()]),
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_js="start_training_textual_inversion",
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inputs=run_preprocess_inputs,
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outputs=[
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ti_output,
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ti_outcome,
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],
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)
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train_embedding.click(
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fn=wrap_gradio_gpu_call(modules.textual_inversion.ui.train_embedding, extra_outputs=[gr.update()]),
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