lts 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 beta value.   beta_schedule (str, defaults to "linear") —
The beta schedule, a mapping from a beta range to a sequence of betas for stepping the model. Choose from
linear, scaled_linear, or squaredcos_cap_v2.   trained_betas (np.ndarray, optional) —
Pas