e-1.0"
pipe = DiffusionPipeline.from_pretrained(pipe_id, torch_dtype=torch.float16).to("cuda") Next, load a LoRA checkpoint with the load_lora_weights() method. With the 🤗 PEFT integration, you can assign a specific adapter_name to the checkpoint, which let’s you easily switch between different LoRA checkpoints. Let’s call this adapter "toy".   Copied pipe.load_lora_weights("CiroN2022/toy-face", weight_name="toy_face_sdxl.safetensors", adapter_