code: def __call__(self, x, t, text_embeddings, guidance_scale=8.0):
      if t == self.timesteps[-1]:
          return x
  
      t_prev = t.item()
      prev_index = torch.where(self.timesteps < t)[0][0]
      t = self.timesteps[prev_index].item()
  
      return self.dpm_solver_2(
          x, t_prev, t, text_embeddings, guidance_scale
      )
  
file_path: diffusion-for-beginners/samplers/dpm_solver.py
imports: import torch
  import numpy
label_desc: Use image node_id 10 for calling the DPMSampler obj's underlying member method code with example usage: obj.__call__(x, t, text_embeddings, guidance_scale) and returns: self, x