```py
pipeline.fuse_lora(adapter_names=["ikea", "feng"], lora_scale=1.0)
```  
Then you should use [`~loaders.StableDiffusionLoraLoaderMixin.unload_lora_weights`] to unload the LoRA weights since they've already been fused with the underlying base model. Finally, call [`~DiffusionPipeline.save_pretrained`] to save the fused pipeline locally or you could call [`~DiffusionPipeline.push_to_hub`] to push the fused pipeline to the Hub.  
```py
pipeline.unload_lora_weights()
# save locally