tion_type: str = 'epsilon' thresholding: bool = False dynamic_thresholding_ratio: float = 0.995 sample_max_value: float = 1.0 algorithm_type: str = 'deis' solver_type: str = 'logrho' lower_order_final: bool = True use_karras_sigmas: Optional = False timestep_spacing: str = 'linspace' steps_offset: int = 0  )   Parameters   num_train_timesteps (int, defaults to 1000) —
The number of diffusion steps to train the model.   beta_start (float, defaul