del.   sampling_eps (float, optional) —
The final timestep value (overrides value given during scheduler instantiation).   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 continuous timesteps used for the diffusion chain (to be run before inference).  step_correct  < source > ( model_output: FloatTensor sample: FloatTensor generator: Optional = None