code: def get_pred_x0(self, x_in, x_out, sigma):
      ts = sigma.to(dtype=int)
  
      a_t = self.alphas[ts][:, None, None, None]
      sqrt_one_minus_at = (1 - a_t).sqrt()
  
      pred_x0 = (x_in - sqrt_one_minus_at * x_out) / a_t.sqrt()
  
      return pred_x0
  
imports: import torch
  import inspect
  import sys
  from modules import devices, sd_samplers_common, sd_samplers_timesteps_impl
  from modules.sd_samplers_cfg_denoiser import CFGDenoiser
  from modules.script_callbacks import ExtraNoiseParams, extra_noise_callback
  from modules.shared import opts
  import modules.shared
label_desc: Use image node_id 2 for calling the CFGDenoiserTimesteps obj's underlying member method code with example usage: obj.get_pred_x0(x_in, x_out, sigma) and returns: pred_x0