model:
  base_learning_rate: 4.5e-6
  target: swim.models.autoencoder.AutoencoderKL
  params:
    monitor: "val/rec_loss"
    embed_dim: 4
    lossconfig:
      target: swim.modules.losses.LPIPSWithDiscriminator
      params:
        disc_start: 50001
        kl_weight: 0.000001
        disc_weight: 0.5

    ddconfig:
      double_z: True
      z_channels: 4
      resolution: 512
      in_channels: 3
      out_ch: 3
      ch: 128
      ch_mult: [1, 2, 4, 4] # num_down = len(ch_mult)-1
      num_res_blocks: 2
      attn_resolutions: []
      dropout: 0.0