| 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 | |