{
  "model_type": "LetterConditionedUnet",
  "num_classes": 26,
  "class_emb_size": 8,
  "sample_size": 512,
  "in_channels": 9,
  "out_channels": 1,
  "layers_per_block": 2,
  "block_out_channels": [
    64,
    128,
    256,
    512,
    512
  ],
  "down_block_types": [
    "DownBlock2D",
    "DownBlock2D",
    "AttnDownBlock2D",
    "AttnDownBlock2D",
    "AttnDownBlock2D"
  ],
  "up_block_types": [
    "AttnUpBlock2D",
    "AttnUpBlock2D",
    "AttnUpBlock2D",
    "UpBlock2D",
    "UpBlock2D"
  ]
}