or example, if adapter_weights=[0.5, 0.5], then the merged LoRA output is an average of both LoRAs. Try adjusting the adapter weights to see how it affects the generated image!   Copied pipeline.set_adapters(["ikea", "feng"], adapter_weights=[0.7, 0.8])

generator = torch.manual_seed(0)
prompt = "A bowl of ramen shaped like a cute kawaii bear, by Feng Zikai"
image = pipeline(prompt, generator=generator, cross_attention_kwargs={"scale": 1.0}).im