StyleGAN3-t-SPD.yaml

DATA:
  name: "ImageNet"
  img_size: 128
  num_classes: 1000
MODEL:
  backbone: "stylegan3"
  g_cond_mtd: "cAdaIN"
  d_cond_mtd: "SPD"
  g_act_fn: "Auto"
  d_act_fn: "Auto"
  z_prior: "gaussian"
  z_dim: 512
  w_dim: 512
  g_conv_dim: "N/A"
  d_conv_dim: "N/A"
  apply_g_ema: True
LOSS:
  adv_loss: "logistic"
  apply_r1_reg: True
  r1_lambda: 0.5
  r1_place: "outside_loop"
OPTIMIZATION:
  # These values will be slightly changed if lazy regularization is applied.
  batch_size: 256
  acml_steps: 1
  g_lr: 0.0025
  d_lr: 0.002
  beta1: 0
  beta2: 0.99
  d_first: False
  g_updates_per_step: 1
  d_updates_per_step: 1
  total_steps: 200000
STYLEGAN:
  stylegan3_cfg: "stylegan3-t"
  g_reg_interval: 1
  d_reg_interval: 16
  mapping_network: 2
  style_mixing_p: 0
  g_ema_kimg: 10
  g_ema_rampup: 0.05
  apply_pl_reg: False
  pl_weight: 0
  d_architecture: "resnet"
  d_epilogue_mbstd_group_size: 4