 obtain an Inception score of 9.46 and a state-of-the-art FID score of 3.17. On 256x256 LSUN, we obtain sample quality similar to ProgressiveGAN.
The original paper can be found here.

DDPMScheduler
	

class diffusers.DDPMScheduler

<
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
variance_t