code: def push_to_hub(self):
      repo_id = create_repo(
          repo_id=self.config.repo_id,
          exist_ok=True,
          private=True,
          token=self.config.token,
      ).repo_id
  
      utils.create_model_card(
          repo_id,
          base_model=self.config.model,
          train_text_encoder=self.config.train_text_encoder,
          prompt=self.config.prompt,
          repo_folder=self.config.project_name,
      )
      upload_folder(
          repo_id=repo_id,
          folder_path=self.config.project_name,
          commit_message="End of training",
          ignore_patterns=["step_*", "epoch_*"],
          token=self.config.token,
      )
  
imports: import itertools
  import math
  import os
  import shutil
  import torch
  import torch.nn.functional
  from diffusers import StableDiffusionXLPipeline
  from diffusers.loaders import LoraLoaderMixin, text_encoder_lora_state_dict
  from diffusers.optimization import get_scheduler
  from huggingface_hub import create_repo, upload_folder
  from tqdm import tqdm
  from autotrain import logger
  from autotrain.trainers.dreambooth import utils
label_desc: Use image node_id 11 for calling the Trainer obj's underlying member method code with example usage: obj.push_to_hub() without return types