feng_peft_model = get_peft_model(
sdxl_unet,
pipeline.unet.peft_config["feng"],
adapter_name="feng"
)

original_state_dict = {f"base_model.model.{k}": v for k, v in pipe.unet.state_dict().items()}
feng_peft_model.load_state_dict(original_state_dict, strict=True)
```  
2. Load a base UNet model and then load the adapters onto it.  
```python
from peft import PeftModel