Original paper can be found here.
Score SDE-VP is under construction.
class diffusers.schedulers.ScoreSdeVpScheduler< source >
( num_train_timesteps = 2000 beta_min = 0.1 beta_max = 20 sampling_eps = 0.001 )
The variance preserving stochastic differential equation (SDE) scheduler.
~ConfigMixin takes care of storing all config attributes that are passed in the scheduler’s
function, such as
num_train_timesteps. They can be accessed via
SchedulerMixin provides general loading and saving functionality via the SchedulerMixin.save_pretrained() and
For more information, see the original paper: https://arxiv.org/abs/2011.13456