def imagetransformer_base_8l_8h_big_cond_dr03_dan():
  """big 1d model for conditional image generation.2.99 on cifar10."""
  hparams = imagetransformer_sep_channels_8l()
  hparams.block_width = 256
  hparams.block_length = 256
  hparams.hidden_size = 512
  hparams.num_heads = 8
  hparams.filter_size = 2048
  hparams.batch_size = 4
  hparams.max_length = 3075
  hparams.layer_preprocess_sequence = "none"
  hparams.layer_postprocess_sequence = "dan"
  hparams.num_decoder_layers = 8
  hparams.layer_prepostprocess_dropout = 0.3
  return hparams