configuration can then be used to instantiate a scheduler
of a different class that is compatible with the pipeline. Here,
we change the scheduler to the DDIMScheduler.


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from diffusers import DDIMScheduler

pipeline.scheduler = DDIMScheduler.from_config(pipeline.scheduler.config)
Cool, now we can run the pipeline again to compare the generation quality.


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generator = torch.Generator(device="cuda").manual_seed(8)
image = pipelin