 True
set_alpha_to_one: bool = True
steps_offset: int = 0
prediction_type: str = 'epsilon'

)


Parameters 

num_train_timesteps (int) — number of diffusion steps used to train the model.


beta_start (float) — the starting beta value of inference.


beta_end (float) — the final beta value.


beta_schedule (str) —
the beta schedule, a mapping from a beta range to a sequence of betas for stepping the model. Choose from
linear, scaled_linear, or 