 fused pipeline and use it for inference without needing to separately load the LoRA adapters.   Copied pipeline = DiffusionPipeline.from_pretrained(
    "username/fused-ikea-feng", torch_dtype=torch.float16,
).to("cuda")

image = pipeline("A bowl of ramen shaped like a cute kawaii bear, by Feng Zikai", generator=torch.manual_seed(0)).images[0]
image You can call unfuse_lora() to restore the original model’s weights (for example, if you want to