code: def img2img_transformer_b1():
      hparams = img2img_transformer_base()
      hparams.batch_size = 2
      hparams.layer_preprocess_sequence = "none"
      hparams.layer_postprocess_sequence = "dan"
      hparams.block_length = 512
      return hparams
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import copy
  import numpy
  from tensor2tensor.layers import common_hparams
  from tensor2tensor.layers import common_image_attention
  from tensor2tensor.layers import common_layers
  from tensor2tensor.layers import modalities
  from tensor2tensor.utils import registry
  from tensor2tensor.utils import t2t_model
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
label_desc: Use image node_id 19 for calling a global function with example usage: img2img_transformer_b1() and returns: hparams