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https://github.com/kohya-ss/sd-scripts.git
synced 2026-04-09 06:45:09 +00:00
add lora controlnet train/gen temporarily
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@@ -5,35 +5,41 @@ from safetensors.torch import load_file
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def main(file):
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print(f"loading: {file}")
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if os.path.splitext(file)[1] == '.safetensors':
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sd = load_file(file)
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else:
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sd = torch.load(file, map_location='cpu')
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print(f"loading: {file}")
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if os.path.splitext(file)[1] == ".safetensors":
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sd = load_file(file)
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else:
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sd = torch.load(file, map_location="cpu")
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values = []
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values = []
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keys = list(sd.keys())
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for key in keys:
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if 'lora_up' in key or 'lora_down' in key:
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values.append((key, sd[key]))
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print(f"number of LoRA modules: {len(values)}")
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keys = list(sd.keys())
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for key in keys:
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if "lora_up" in key or "lora_down" in key:
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values.append((key, sd[key]))
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print(f"number of LoRA modules: {len(values)}")
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for key, value in values:
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value = value.to(torch.float32)
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print(f"{key},{str(tuple(value.size())).replace(', ', '-')},{torch.mean(torch.abs(value))},{torch.min(torch.abs(value))}")
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if args.show_all_keys:
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for key in [k for k in keys if k not in values]:
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values.append((key, sd[key]))
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print(f"number of all modules: {len(values)}")
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for key, value in values:
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value = value.to(torch.float32)
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print(f"{key},{str(tuple(value.size())).replace(', ', '-')},{torch.mean(torch.abs(value))},{torch.min(torch.abs(value))}")
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def setup_parser() -> argparse.ArgumentParser:
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parser = argparse.ArgumentParser()
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parser.add_argument("file", type=str, help="model file to check / 重みを確認するモデルファイル")
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parser = argparse.ArgumentParser()
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parser.add_argument("file", type=str, help="model file to check / 重みを確認するモデルファイル")
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parser.add_argument("-s", "--show_all_keys", action="store_true", help="show all keys / 全てのキーを表示する")
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return parser
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return parser
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if __name__ == '__main__':
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parser = setup_parser()
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if __name__ == "__main__":
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parser = setup_parser()
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args = parser.parse_args()
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args = parser.parse_args()
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main(args.file)
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main(args.file)
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