oise to an image or how to update a sample based on a model’s output: during training, a scheduler adds noise (there are different algorithms for how to add noise) to a sample to train a diffusion model during inference, a scheduler defines how to update a sample based on a pretrained model’s output Many schedulers are implemented from the k-diffusion library by Katherine Crowson, and they’re also widely used in A1111. To help you map the sched