EulerAncestralDiscreteScheduler A scheduler that uses ancestral sampling with Euler method steps. This is a fast scheduler which can often generate good outputs in 20-30 steps. The scheduler is based on the original k-diffusion implementation by Katherine Crowson.  EulerAncestralDiscreteScheduler  class diffusers.EulerAncestralDiscreteScheduler  < source > ( num_train_timesteps: int = 1000 beta_start: float = 0.0001 beta_end: float = 0.02 beta_