 thresholding: bool = False dynamic_thresholding_ratio: float = 0.995 sample_max_value: float = 1.0 timestep_spacing: str = 'leading' timestep_scaling: float = 10.0 rescale_betas_zero_snr: bool = False  )   Parameters   num_train_timesteps (int, defaults to 1000) —
The number of diffusion steps to train the model.   beta_start (float, defaults to 0.0001) —
The starting beta value of inference.   beta_end (float, defaults to 0.02) —
The final be