Method _run_generator

Optionally simulate the generator's input from noise using backward simulation and then run the generator for one-step. Input: - image_or_video_shape: a list containing the shape of the image or video [B, F, C, H, W]. - conditional_dict: a dictionary

(
        self,
        image_or_video_shape,
        conditional_dict: dict,
        initial_latent: torch.tensor = None,
        slice_last_frames: int = 21,
        noise=None,
        clean_latent: torch.Tensor = None,
    )