ethod because it won’t work if you try to pass scale to the cross_attention_kwargs in the pipeline.   Copied pipeline.fuse_lora(adapter_names=["ikea", "feng"], lora_scale=1.0) Then you should use unload_lora_weights() to unload the LoRA weights since they’ve already been fused with the underlying base model. Finally, call save_pretrained() to save the fused pipeline locally or you could call push_to_hub() to push the fused pipeline to the Hub. 