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- import argparse
- import torch
- from safetensors.torch import load_file, save_file
- if __name__ == "__main__":
- parser = argparse.ArgumentParser()
- parser.add_argument("--src", default=None, type=str, required=True, help="Path to the model to convert.")
- parser.add_argument("--dst", default=None, type=str, required=True, help="Path to the output model.")
- parser.add_argument("--half", action="store_true", help="Cast to FP16.")
- args = parser.parse_args()
- assert args.src is not None, "Must provide a model path!"
- assert args.dst is not None, "Must provide a checkpoint path!"
- if args.src.endswith(".safetensors"):
- state_dict = load_file(args.src)
- else:
- state_dict = torch.load(args.src)
- if any([k.startswith("control_model.") for k, v in state_dict.items()]):
- dtype = torch.float16 if args.half else torch.float32
- state_dict = {k.replace("control_model.", ""): v.to(dtype) for k, v in state_dict.items() if k.startswith("control_model.")}
-
- if args.dst.endswith(".safetensors"):
- save_file(state_dict, args.dst)
- else:
- torch.save({"state_dict": state_dict}, args.dst)
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