Schedulers            Diffusion pipelines are inherently a collection of diffusion models and schedulers that are partly independent from each other. This means that one is able to switch out parts of the pipeline to better customize
a pipeline to one’s use case. The best example of this is the Schedulers. Whereas diffusion models usually simply define the forward pass from noise to a less noisy sample,
schedulers define the whole denoising pro