config.json

{
  "_name_or_path": "morphablediffusion/config.json",
  "activation_dropout": 0.0,
  "activation_function": "gelu",
  "attention_dropout": 0.0,
  "attention_window": 512,
  "bos_token_id": 0,
  "classifier_dropout": 0.0,
  "d_model": 1024,
  "data": {
    "params": {
      "batch_size": 70,
      "data_dir": "/cluster/scratch/xiychen/data/facescape_color_calibrated",
      "mesh_topology": "flame",
      "num_workers": 1,
      "shuffled_expression": true
    },
    "target": "ldm.data.facescape.FaceScapeDataset"
  },
  "decoder_attention_heads": 16,
  "decoder_ffn_dim": 4096,
  "decoder_layerdrop": 0.0,
  "decoder_layers": 12,
  "decoder_start_token_id": 2,
  "dropout": 0.1,
  "encoder_attention_heads": 16,
  "encoder_ffn_dim": 4096,
  "encoder_layerdrop": 0.0,
  "encoder_layers": 12,
  "eos_token_id": 2,
  "init_std": 0.02,
  "is_encoder_decoder": true,
  "lightning": {
    "callbacks": {},
    "modelcheckpoint": {
      "params": {
        "every_n_train_steps": 2000
      }
    },
    "trainer": {
      "accumulate_grad_batches": 1,
      "benchmark": true,
      "check_val_every_n_epoch": null,
      "max_steps": 6000,
      "num_sanity_val_steps": 0,
      "precision": 32,
      "val_check_interval": 250
    }
  },
  "max_decoder_position_embeddings": 1024,
  "max_encoder_position_embeddings": 16384,
  "model": {
    "base_learning_rate": "5e-5",
    "params": {
      "batch_view_num": 4,
      "cfg_scale": 2.0,
      "clip_image_encoder_path": "./ckpt/ViT-L-14.pt",
      "drop_conditions": false,
      "finetune_unet": true,
      "image_size": 256,
      "output_num": 8,
      "projection": "perspective",
      "scheduler_config": {
        "params": {
          "cycle_lengths": [
            100000
          ],
          "f_max": [
            1.0
          ],
          "f_min": [
            1.0
          ],
          "f_start": [
            0.02
          ],
          "warm_up_steps": [
            100
          ]
        },
        "target": "ldm.lr_scheduler.LambdaLinearScheduler"
      },
      "target_elevation": 0,
      "unet_config": {
        "params": {
          "attention_resolutions": [
            4,
            2,
            1
          ],
          "channel_mult": [
            1,
            2,
            4,
            4
          ],
          "context_dim": 768,
          "image_size": 32,
          "in_channels": 8,
          "legacy": false,
          "model_channels": 320,
          "num_heads": 8,
          "num_res_blocks": 2,
          "out_channels": 4,
          "transformer_depth": 1,
          "use_checkpoint": true,
          "use_spatial_transformer": true,
          "volume_dims": [
            64,
            128,
            256,
            512
          ]
        },
        "target": "ldm.models.diffusion.attention.DepthWiseAttention"
      },
      "use_spatial_volume": false,
      "view_num": 16
    },
    "target": "ldm.models.diffusion.morphable_diffusion.SyncMultiviewDiffusion"
  },
  "model_type": "led",
  "num_hidden_layers": 12,
  "pad_token_id": 1,
  "transformers_version": "4.42.4",
  "use_cache": true,
  "vocab_size": 50265
}