config.json

{
  "G_kwargs": {
    "class_name": "training.networks_stylegan2.Generator",
    "z_dim": 512,
    "w_dim": 512,
    "mapping_kwargs": {
      "num_layers": 8
    },
    "channel_base": 32768,
    "channel_max": 512,
    "fused_modconv_default": "inference_only"
  },
  "D_kwargs": {
    "class_name": "training.networks_stylegan2.Discriminator",
    "block_kwargs": {
      "freeze_layers": 0
    },
    "mapping_kwargs": {},
    "epilogue_kwargs": {
      "mbstd_group_size": 4
    },
    "channel_base": 32768,
    "channel_max": 512
  },
  "G_opt_kwargs": {
    "class_name": "torch.optim.Adam",
    "betas": [
      0,
      0.99
    ],
    "eps": 1e-08,
    "lr": 0.002
  },
  "D_opt_kwargs": {
    "class_name": "torch.optim.Adam",
    "betas": [
      0,
      0.99
    ],
    "eps": 1e-08,
    "lr": 0.002
  },
  "loss_kwargs": {
    "class_name": "training.loss.StyleGAN2Loss",
    "r1_gamma": 8.2,
    "style_mixing_prob": 0.9,
    "pl_weight": 2,
    "pl_no_weight_grad": true,
    "blur_init_sigma": 0
  },
  "data_loader_kwargs": {
    "pin_memory": true,
    "prefetch_factor": 2,
    "num_workers": 3
  },
  "training_set_kwargs": {
    "class_name": "training.dataset.ImageFolderDataset",
    "use_labels": false,
    "max_size": 1187043,
    "xflip": false,
    "resolution": 256,
    "random_seed": 0
  },
  "num_gpus": 1,
  "batch_size": 32,
  "batch_gpu": 32,
  "metrics": [
    "fid50k_full"
  ],
  "total_kimg": 15000,
  "kimg_per_tick": 4,
  "image_snapshot_ticks": 50,
  "network_snapshot_ticks": 50,
  "random_seed": 0,
  "ema_kimg": 10.0,
  "G_reg_interval": 4,
  "augment_kwargs": {
    "class_name": "training.augment.AugmentPipe",
    "xflip": 1,
    "rotate90": 1,
    "xint": 1,
    "scale": 1,
    "rotate": 1,
    "aniso": 1,
    "xfrac": 1,
    "brightness": 1,
    "contrast": 1,
    "lumaflip": 1,
    "hue": 1,
    "saturation": 1
  },
  "ada_target": 0.6,
  "ada_kimg": 100,
  "ema_rampup": null,
  "model_type": "resnet"
}