(
num_train_timesteps: int = 1000
beta_start: float = 0.00085
beta_end: float = 0.012
beta_schedule: str = 'linear'
trained_betas: typing.Union[numpy.ndarray, typing.List[float], NoneType] = None
prediction_type: str = 'epsilon'

)


Parameters 

num_train_timesteps (int) — number of diffusion steps used to train the model. beta_start (float): the


starting beta value of inference. beta_end (float) — the final beta value. beta_schedule (str):
