code: def apply_clip_skip(p, x, xs):
      opts.data["CLIP_stop_at_last_layers"] = x
  
imports: from collections import namedtuple
  from copy import copy
  from itertools import permutations, chain
  import random
  import csv
  import os.path
  from io import StringIO
  from PIL import Image
  import numpy
  import modules.scripts
  import gradio
  from modules import images, sd_samplers, processing, sd_models, sd_vae, sd_samplers_kdiffusion, errors
  from modules.processing import process_images, Processed, StableDiffusionProcessingTxt2Img
  from modules.shared import opts, state
  import modules.shared
  import modules.sd_samplers
  import modules.sd_models
  import modules.sd_vae
  import re
  from modules.ui_components import ToolButton
label_desc: Use image node_id 8 for calling a global function with example usage: apply_clip_skip(p, x, xs) without return types