You have attached multiple adapters in this tutorial, and if you're feeling a bit lost on what adapters have been attached to the pipeline's components, use the [`~diffusers.loaders.StableDiffusionLoraLoaderMixin.get_active_adapters`] method to check the list of active adapters:  
```py
active_adapters = pipe.get_active_adapters()
active_adapters
["toy", "pixel"]
```  
You can also get the active adapters of each pipeline component with [`~diffusers.loaders.StableDiffusionLoraLoaderMixin.get_list_adapters`]:  
```py
list_adapters_component_wise = pipe.get_list_adapters()
list_adapters_component_wise
{"text_encoder": ["toy", "pixel"], "unet": ["toy", "pixel"], "text_encoder_2": ["toy", "pixel"]}
```  
The [`~loaders.peft.PeftAdapterMixin.delete_adapters`] function completely removes an adapter and their LoRA layers from a model.  
```py
pipe.delete_adapters("toy")
pipe.get_active_adapters()
["pixel"]
```
/Users/nielsrogge/Documents/python_projecten/diffusers/docs/source/en/tutorials/using_peft_for_inference.md