Linear multistep scheduler for discrete beta schedules
	

Overview
	
Original implementation can be found here.

LMSDiscreteScheduler
	

class diffusers.LMSDiscreteScheduler

<
source
>
(
num_train_timesteps: int = 1000
beta_start: float = 0.0001
beta_end: float = 0.02
beta_schedule: str = 'linear'
trained_betas: typing.Union[numpy.ndarray, typing.List[float], NoneType] = None
prediction_type: str = 'epsilon'

)


Parameters 

num_train_timeste