Create reproducible pipelines
	
Reproducibility is important for testing, replicating results, and can even be used to improve image quality. However, the randomness in diffusion models is a desired property because it allows the pipeline to generate different images every time it is run. While you can’t expect to get the exact same results across platforms, you can expect results to be reproducible across releases and platforms within a certai