w use the set_adapters() to activate both LoRAs, and you can configure how much weight each LoRA should have on the output:   Copied pipeline.set_adapters(["ikea", "cereal"], adapter_weights=[0.7, 0.5]) Then, generate an image:   Copied prompt = "A cute brown bear eating a slice of pizza, stunning color scheme, masterpiece, illustration"
image = pipeline(prompt, num_inference_steps=30, cross_attention_kwargs={"scale": 1.0}).images[0]
image  Koh