esteps (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 squaredcos_cap_v2.


eta (float) —
The weight of noise for added noise in a diffusion step. Its value is between 0.0 and 1