class_docstr: A diffusion process which can skip steps in a base diffusion process.
  
  :param use_timesteps: a collection (sequence or set) of timesteps from the
                        original diffusion process to retain.
  :param kwargs: the kwargs to create the base diffusion process.
code: def _scale_timesteps(self, t):
      # Scaling is done by the wrapped model.
      return t
  
file_path: PaddleHub/modules/image/text_to_image/disco_diffusion_cnclip_vitb16/reverse_diffusion/model/respace.py
imports: import numpy
  import paddle
  from .gaussian_diffusion import GaussianDiffusion
label_desc: Use image node_id 7 for calling the SpacedDiffusion obj's underlying member method code with example usage: obj._scale_timesteps(t) and returns: t