ess parameters (alpha, beta, gamma) on.



Sets the discrete timesteps used for the diffusion chain. Supporting function to be run before inference.

step

<
source
>
(
model_output: FloatTensor
timestep: torch.int64
sample: LongTensor
generator: typing.Optional[torch._C.Generator] = None
return_dict: bool = True

)
→
~schedulers.scheduling_utils.VQDiffusionSchedulerOutput or tuple

Parameters 

t (torch.long) —
The timestep that determines whi