model:
  base_learning_rate: 4.5e-06
  target: taming.models.vqgan.GumbelVQ
  params:
    kl_weight: 1.0e-08
    embed_dim: 256
    n_embed: 8192
    monitor: val/rec_loss
    temperature_scheduler_config:
      target: taming.lr_scheduler.LambdaWarmUpCosineScheduler
      params:
        warm_up_steps: 0
        max_decay_steps: 1000001
        lr_start: 0.9
        lr_max: 0.9
        lr_min: 1.0e-06
    ddconfig:
      double_z: false
      z_channels: 256
      resolution: 256
      in_channels: 3
      out_ch: 3
      ch: 128
      ch_mult:
      - 1
      - 1
      - 2
      - 4
      num_res_blocks: 2
      attn_resolutions:
      - 32
      dropout: 0.0
    lossconfig:
      target: taming.modules.losses.vqperceptual.DummyLoss