_timesteps: int = 1000 beta_start: float = 0.00085 beta_end: float = 0.012 beta_schedule: str = 'linear' trained_betas: Union = None prediction_type: str = 'epsilon' use_karras_sigmas: Optional = False noise_sampler_seed: Optional = None 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, defaults to 0.0008