code: def __init__(
      self,
      x,
      image_cond,
      sigma,
      sampling_step,
      total_sampling_steps,
      text_cond,
      text_uncond,
  ):
      self.x = x
      """Latent image representation in the process of being denoised"""
  
      self.image_cond = image_cond
      """Conditioning image"""
  
      self.sigma = sigma
      """Current sigma noise step value"""
  
      self.sampling_step = sampling_step
      """Current Sampling step number"""
  
      self.total_sampling_steps = total_sampling_steps
      """Total number of sampling steps planned"""
  
      self.text_cond = text_cond
      """ Encoder hidden states of text conditioning from prompt"""
  
      self.text_uncond = text_uncond
      """ Encoder hidden states of text conditioning from negative prompt"""
  
imports: import inspect
  import os
  from collections import namedtuple
  from typing import Optional, Any
  from fastapi import FastAPI
  from gradio import Blocks
  from modules import errors, timer
label_desc: Use image node_id 1 to create a new CFGDenoiserParams object  with example: obj = CFGDenoiserParams(x, image_cond, sigma, sampling_step, total_sampling_steps, text_cond, text_uncond)