.20, a competitive likelihood of 2.99 bits/dim, and demonstrate high fidelity generation of 1024 x 1024 images for the first time from a score-based generative model.  ScoreSdeVeScheduler  class diffusers.ScoreSdeVeScheduler  < source > ( num_train_timesteps: int = 2000 snr: float = 0.15 sigma_min: float = 0.01 sigma_max: float = 1348.0 sampling_eps: float = 1e-05 correct_steps: int = 1  )   Parameters   num_train_timesteps (int, defaults to 10