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

step

<
source
>
(
model_output: FloatTensor
timestep: int
sample: FloatTensor
eta: float = 0.0
use_clipped_model_output: bool = False
generator = None
variance_noise: typing.Optional[torch.FloatTensor] = None
return_dict: bool = True

)
→
~schedulers.scheduling_utils.DDIMSchedulerOutput or tuple

Parameters 

model_output (torch.FloatTensor) — direct ou