 = 0.02
beta_schedule: str = 'linear'
trained_betas: typing.Union[numpy.ndarray, typing.List[float], NoneType] = None
variance_type: str = 'fixed_small'
clip_sample: bool = True
prediction_type: str = 'epsilon'
thresholding: bool = False
dynamic_thresholding_ratio: float = 0.995
clip_sample_range: float = 1.0
sample_max_value: float = 1.0

)


Parameters 

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


beta_sta