call this adapter "toy".   Copied pipe.load_lora_weights("CiroN2022/toy-face", weight_name="toy_face_sdxl.safetensors", adapter_name="toy") And then perform inference:   Copied prompt = "toy_face of a hacker with a hoodie"

lora_scale= 0.9
image = pipe(
    prompt, num_inference_steps=30, cross_attention_kwargs={"scale": lora_scale}, generator=torch.manual_seed(0)
).images[0]
image  With the adapter_name parameter, it is really easy to use anot