code: def sample_to_image(samples, index=0, approximation=None):
      return single_sample_to_image(samples[index], approximation)
  
imports: import inspect
  from collections import namedtuple
  import numpy
  import torch
  from PIL import Image
  from modules import devices, images, sd_vae_approx, sd_samplers, sd_vae_taesd, shared, sd_models
  from modules.shared import opts, state
  import k_diffusion.sampling
label_desc: Use image node_id 5 for calling a global function with example usage: sample_to_image(samples, index, approximation) and returns: single_sample_to_image