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akii-i/lora_convert.py

Last active July 18, 2023 19:13
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LORA format conversion from cloneofsimo lora format to AUTOMATIC1111 webui format (kohya's format)
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lora_convert.py
# Convert cloneofsimo lora format to AUTOMATIC1111 webui format (kohya's format)
# Will generate extra embedding files along with the converted lora
# Usage: python lora_convert.py path_to_lora output_folder [--overwrite]
# path_to_lora_file : path to lora safetensors in cloneofsimo lora format
# output_folder : path to folder for results in AUTOMATIC1111 webui format
# overwrite : overwrite the results in output_folder
# Example: python lora_convert.py .\lora_krk.safetensors .\
from safetensors import safe_open
from safetensors.torch import save_file
import os
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('path_to_lora_file', type=str, help="path to lora safetensors in cloneofsimo lora format")
parser.add_argument("output_folder", type=str, help="path to folder for results in AUTOMATIC1111 webui format")
parser.add_argument('-o', '--overwrite', default=False, action='store_true')
args = parser.parse_args()
def main():
if not os.path.exists(args.output_folder):
os.makedirs(args.output_folder)
output_lora_filename = os.path.join(args.output_folder, 'converted_' + os.path.basename(args.path_to_lora_file))
if not args.overwrite:
assert not os.path.exists(output_lora_filename), f"converted files existing, try use --overwrite"
lora = safe_open(args.path_to_lora_file, framework="pt", device="cpu")
def make_filename(name):
filename_badchars = '\\/:*?\"<>|'
for c in filename_badchars:
name = name.replace(c, '')
return name
converted_lora = dict()
lora_type = 'extended'
lora_keys = list(lora.keys())
if len(lora_keys) < 544:
lora_type = 'default'
for key in lora_keys:
if key in key_dict[lora_type]: # lora network layers
converted_lora[key_dict[lora_type][key]] = lora.get_tensor(key)
else: # extra embeddings
fn = os.path.join(args.output_folder, 'embedding_' + make_filename(key) + '.safetensors')
print('Write to', fn)
save_file({key: lora.get_tensor(key)}, fn)
print('Write to', output_lora_filename)
save_file(converted_lora, output_lora_filename)
key_dict = {
"default": {
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}
}
main()
@ShivamKumar2002
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thanks

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