is there any plan to expand the func of fuse_lora_weights to peft package?

Currently, the lora format supported by this function is too single. Can it support lora fusion implemented by the peft library? in demo/Diffusion
such as:

from peft import LoraConfig, get_peft_model, get_peft_model_state_dict

lora_config = LoraConfig(
        r=args.lora_rank,
        target_modules=[
            "to_q",
            "to_k",
            "to_v",
            "to_out.0",
            "proj_in",
            "proj_out",
            "ff.net.0.proj",
            "ff.net.2",
            "conv1",
            "conv2",
            "conv_shortcut",
            "downsamplers.0.conv",
            "upsamplers.0.conv",
            "time_emb_proj",
        ],
    )
 unet = get_peft_model(unet, lora_config)
 # unet.add_adapter(adapter_name, lora_config )
 # unet.load_adapter(unet_sub_dir, adapter_name=adapter_name)