{"text_encoder": ["toy", "pixel"], "unet": ["toy", "pixel"], "text_encoder_2": ["toy", "pixel"]}  Fusing adapters into the model You can use PEFT to easily fuse/unfuse multiple adapters directly into the model weights (both UNet and text encoder) using the fuse_lora() method, which can lead to a speed-up in inference and lower VRAM usage.   Copied pipe.load_lora_weights("nerijs/pixel-art-xl", weight_name="pixel-art-xl.safetensors", adapter_name="pixel")