aint.   num_inference_steps (int, optional, defaults to 1000) —
The number of denoising steps. More denoising steps usually lead to a higher quality image at the
expense of slower inference.   eta (float) —
The weight of the added noise in a diffusion step. Its value is between 0.0 and 1.0; 0.0 corresponds to
DDIM and 1.0 is the DDPM scheduler.   jump_length (int, optional, defaults to 10) —
The number of steps taken forward in time before goin