commit
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@ -163,6 +163,8 @@ This will store your a backup file with your current locally installed pip packa
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## Change History
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* 2023/03/03 (v21.1.2):
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- Fix issue https://github.com/bmaltais/kohya_ss/issues/277
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* 2023/03/02 (v21.1.1):
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- Emergency fix for https://github.com/bmaltais/kohya_ss/issues/261
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* 2023/03/02 (v21.1.0):
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@ -272,7 +272,7 @@ def save_inference_file(output_dir, v2, v_parameterization, output_name):
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)
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def set_pretrained_model_name_or_path_input(value, v2, v_parameterization):
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def set_pretrained_model_name_or_path_input(value, pretrained_model_name_or_path, v2, v_parameterization):
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# define a list of substrings to search for
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substrings_v2 = [
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'stabilityai/stable-diffusion-2-1-base',
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@ -316,9 +316,10 @@ def set_pretrained_model_name_or_path_input(value, v2, v_parameterization):
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return value, v2, v_parameterization
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if value == 'custom':
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value = ''
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v2 = False
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v_parameterization = False
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if str(pretrained_model_name_or_path) in substrings_v1_model or str(pretrained_model_name_or_path) in substrings_v2 or str(pretrained_model_name_or_path) in substrings_v_parameterization:
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value = ''
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v2 = False
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v_parameterization = False
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return value, v2, v_parameterization
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@ -405,7 +406,7 @@ def gradio_source_model():
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)
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model_list.change(
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set_pretrained_model_name_or_path_input,
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inputs=[model_list, v2, v_parameterization],
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inputs=[model_list, pretrained_model_name_or_path, v2, v_parameterization],
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outputs=[
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pretrained_model_name_or_path,
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v2,
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