swim / configs /autoencoder /autoencoder_kl_32x32x4.yaml
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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