as128/RePaint

RePaintScheduler
	

class diffusers.RePaintScheduler

<
source
>
(
num_train_timesteps: int = 1000
beta_start: float = 0.0001
beta_end: float = 0.02
beta_schedule: str = 'linear'
eta: float = 0.0
trained_betas: typing.Optional[numpy.ndarray] = None
clip_sample: bool = True

)


Parameters 

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


beta_start (float) — the starting beta value of inference.

