code: def __init__(self, cfg):
      super(DreamFusion, self).__init__(cfg)
  
      self.guidance_scale = cfg.guidance_scale
  
      self.iters = cfg.iters
      self.latent_iter_ratio = cfg.latent_iter_ratio
      self.albedo_iter_ratio = cfg.albedo_iter_ratio
      self.min_ambient_ratio = cfg.min_ambient_ratio
      self.textureless_ratio = cfg.textureless_ratio
  
      # Lambdas
      self.lambda_sds = cfg.loss.lambda_sds
      self.lambda_opacity = cfg.loss.lambda_opacity
      self.lambda_entropy = cfg.loss.lambda_entropy
      self.lambda_orientation = cfg.loss.lambda_orientation
      self.lambda_2d_normal_smooth = cfg.loss.lambda_2d_normal_smooth
      self.lambda_3d_normal_smooth = cfg.loss.lambda_3d_normal_smooth
      self.lambda_mesh_normal = cfg.loss.lambda_mesh_normal
      self.lambda_mesh_laplacian = cfg.loss.lambda_mesh_laplacian
  
      if self.lambda_mesh_normal > 0:
          self.normal_consistency_loss_fn = NormalConsistencyLoss()
      if self.lambda_mesh_laplacian > 0:
          self.laplacian_smooth_loss_fn = LaplacianSmoothLoss()
  
      # Video
      self.test_images = []
      self.test_depths = []
  
imports: import os
  import random
  import cv2
  import imageio
  import numpy
  import torch
  from nemo.collections.multimodal.models.nerf.txt2nerf_base import Txt2NerfBase
  from nemo.collections.multimodal.modules.nerf.loss.laplacian_smooth_loss import LaplacianSmoothLoss
  from nemo.collections.multimodal.modules.nerf.loss.normal_consistency_loss import NormalConsistencyLoss
  from nemo.collections.multimodal.modules.nerf.materials.materials_base import ShadingEnum
  from nemo.core import optim
label_desc: Use image node_id 1 to create a new DreamFusion object from inherited base classes: Txt2NerfBase with example: obj = DreamFusion(cfg)