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
|