code: def forward(self, x, hint, timesteps, context, **kwargs):
      t_emb = timestep_embedding(
          timesteps, self.model_channels, repeat_only=False
      )
      emb = self.time_embed(t_emb)
  
      guided_hint = self.input_hint_block(hint, emb, context)
      outs = []
  
      h = x.type(self.dtype)
      for module, zero_conv in zip(self.input_blocks, self.zero_convs):
          if guided_hint is not None:
              h = module(h, emb, context)
              h += guided_hint
              guided_hint = None
          else:
              h = module(h, emb, context)
          outs.append(zero_conv(h, emb, context))
  
      h = self.middle_block(h, emb, context)
      outs.append(self.middle_block_out(h, emb, context))
  
      return outs
  
imports: from typing import Any
  import einops
  import torch
  import torch.nn
  from einops import rearrange, repeat
  from omegaconf import DictConfig
  from pytorch_lightning import Trainer
  from pytorch_lightning.utilities.rank_zero import rank_zero_only
  from torch._inductor import config
  from nemo.collections.multimodal.data.controlnet.controlnet_dataset import build_train_valid_datasets
  from nemo.collections.multimodal.models.text_to_image.stable_diffusion.ldm.ddpm import LatentDiffusion
  from nemo.collections.multimodal.models.text_to_image.stable_diffusion.samplers.ddim import DDIMSampler
  from nemo.collections.multimodal.modules.stable_diffusion.attention import SpatialTransformer
  from nemo.collections.multimodal.modules.stable_diffusion.diffusionmodules.openaimodel import AttentionBlock, Downsample, ResBlock, TimestepEmbedSequential, UNetModel
  from nemo.collections.multimodal.modules.stable_diffusion.diffusionmodules.util import conv_nd, linear, timestep_embedding, zero_module
  from nemo.collections.multimodal.parts.stable_diffusion.utils import exists, log_txt_as_img
  from nemo.collections.nlp.models.language_modeling.megatron_base_model import MegatronBaseModel
  from nemo.collections.nlp.modules.common.megatron.module import Float16Module
  from nemo.utils import logging
label_desc: Use image node_id 4 for calling the ControlNet obj's underlying member method code with example usage: obj.forward(x, hint, timesteps, context) and returns: outs