ples with a pre-trained model.   device (str or torch.device, optional) —
The device to which the timesteps should be moved to. If None, the timesteps are not moved.    Sets the discrete timesteps used for the diffusion chain (to be run before inference).  step  < source > ( model_output: FloatTensor timestep: int sample: FloatTensor return_dict: bool = True  ) → SchedulerOutput or tuple  Parameters   model_output (torch.FloatTensor) —
The dire