code: def __init__(self, n_sample_steps=1, *args, **kwargs):
      super().__init__(*args, **kwargs)
      self.n_sample_steps = n_sample_steps
      self.steps_subset = [0, 100, 200, 300, 1000]
  
file_path: generative-models/scripts/demo/turbo.py
imports: from streamlit_helpers import *
  from st_keyup import st_keyup
  from sgm.modules.diffusionmodules.sampling import EulerAncestralSampler
label_desc: Use image node_id 1 to create a new SubstepSampler object from inherited base classes: EulerAncestralSampler with example: obj = SubstepSampler(n_sample_steps)