WeightsUnpickler error: Unsupported operand 56

[vidu3k333]

Traceback (most recent call last):
  File "E:\sd-scripts\networks\sdxl_merge_lora.py", line 515, in <module>
    merge(args)
  File "E:\sd-scripts\networks\sdxl_merge_lora.py", line 428, in merge
    state_dict, metadata = merge_lora_models(args.models, args.ratios, args.lbws, merge_dtype, args.concat, args.shuffle)
                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "E:\sd-scripts\networks\sdxl_merge_lora.py", line 260, in merge_lora_models
    lora_sd, lora_metadata = load_state_dict(model, merge_dtype)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "E:\sd-scripts\networks\sdxl_merge_lora.py", line 30, in load_state_dict
    sd = torch.load(file_name, map_location="cpu")
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "E:\ColleSLAW\sd-scripts\venv\Lib\site-packages\torch\serialization.py", line 1494, in load
    raise pickle.UnpicklingError(_get_wo_message(str(e))) from None
_pickle.UnpicklingError: Weights only load failed. In PyTorch 2.6, we changed the default value of the `weights_only` argument in `torch.load` from `False` to `True`. Re-running `torch.load` with `weights_only` set to `False` will likely succeed, but it can result in arbitrary code execution. Do it only if you got the file from a trusted source.
Please file an issue with the following so that we can make `weights_only=True` compatible with your use case: WeightsUnpickler error: Unsupported operand 56

Check the documentation of torch.load to learn more about types accepted by default with weights_only https://pytorch.org/docs/stable/generated/torch.load.html.

I'm aware that I need to convert my LoRAs to weights, but I'm just doing this with my own trained models. How do I skip this and just merge?