ice: Union = None  )   Parameters   num_inference_steps (int) —
The number of diffusion steps used when generating samples with a pre-trained model.    Sets the discrete timesteps used for the diffusion chain (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: Optional = None return_dict: bool = True