pipe.enable_lora_hotswap(target_rank=max_rank)
pipe.load_lora_weights(<lora-adapter-name1>)
# compile *after* loading the first LoRA
pipe.transformer.compile(mode="max-autotune", fullgraph=True)
image = pipe(**pipe_kwargs).images[0]
# from this point on, load new LoRAs with `hotswap=True`
pipe.load_lora_weights(<lora-adapter-name2>, hotswap=True)
image = pipe(**pipe_kwargs).images[0]