Error when trying to use custom pipeline

I can do this but the performance is worse

seeds = []
images = []
for _ in range(number_images):
    seed = generator.seed()
    seeds.append(seed)
    generator = generator.manual_seed(seed)
    image = pipe(prompt, generator=generator, num_inference_steps=steps, width=width, height=height).images[0]
    images.append(image)
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