e)

    sd.to(rank)

    if torch.distributed.get_rank() == 0:
        prompt = "a dog"
    elif torch.distributed.get_rank() == 1:
        prompt = "a cat"

    image = sd(prompt).images[0]
    image.save(f"./{'_'.join(prompt)}.png") To run the distributed inference, call mp.spawn to run the run_inference function on the number of GPUs defined in world_size:   Copied def main():
    world_size = 2
    mp.spawn(run_inference, args=(world_size,)