code: def sample_img2img(
      self,
      p,
      x,
      noise,
      conditioning,
      unconditional_conditioning,
      steps=None,
      image_conditioning=None,
  ):
      raise NotImplementedError()
  
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 8 for calling the Sampler obj's underlying member method code with example usage: obj.sample_img2img(p, x, noise, conditioning, unconditional_conditioning, steps, image_conditioning) without return types