r = 'epsilon'
thresholding: bool = False
dynamic_thresholding_ratio: float = 0.995
clip_sample_range: float = 1.0
sample_max_value: float = 1.0

)


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 stepp