
seed = 0
generator = torch.manual_seed(seed)

images = sd_pipeline(sample_prompts, num_images_per_prompt=1, generator=generator).images  We can also set num_images_per_prompt accordingly to compare different images for the same prompt. Running the same pipeline but with a different checkpoint (v1-5), yields:  Once several images are generated from all the prompts using multiple models (under evaluation), these results are presented to human ev