kohya_ss / tools /prepare_presets.py
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import json
import argparse
import glob
def remove_items_with_keywords(json_file_path):
keywords = ["pretrained_model_name_or_path", "dir", "save_model_as", "save_state", "resume", "output_name", "model_list", "sample_"]
with open(json_file_path) as file:
data = json.load(file)
for key in list(data.keys()):
for keyword in keywords:
if keyword in key:
del data[key]
break
sorted_data = {k: data[k] for k in sorted(data)}
with open(json_file_path, 'w') as file:
json.dump(sorted_data, file, indent=4)
print("Items with keywords have been removed from the JSON file and the list has been sorted alphabetically:", json_file_path)
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='Remove items from JSON files based on keywords in the keys')
parser.add_argument('json_files', type=str, nargs='+', help='Path(s) to the JSON file(s)')
args = parser.parse_args()
json_files = args.json_files
for file_pattern in json_files:
for json_file_path in glob.glob(file_pattern):
remove_items_with_keywords(json_file_path)