| model:
|
| base_learning_rate: 4.5e-6
|
| target: ldm.models.autoencoder.AutoencoderKL
|
| params:
|
| monitor: "val/rec_loss"
|
| embed_dim: 64
|
| lossconfig:
|
| target: ldm.modules.losses.LPIPSWithDiscriminator
|
| params:
|
| disc_start: 50001
|
| kl_weight: 0.000001
|
| disc_weight: 0.5
|
|
|
| ddconfig:
|
| double_z: True
|
| z_channels: 64
|
| resolution: 256
|
| in_channels: 3
|
| out_ch: 3
|
| ch: 128
|
| ch_mult: [ 1,1,2,2,4,4]
|
| num_res_blocks: 2
|
| attn_resolutions: [16,8]
|
| dropout: 0.0
|
|
|
| data:
|
| target: main.DataModuleFromConfig
|
| params:
|
| batch_size: 12
|
| wrap: True
|
| train:
|
| target: ldm.data.imagenet.ImageNetSRTrain
|
| params:
|
| size: 256
|
| degradation: pil_nearest
|
| validation:
|
| target: ldm.data.imagenet.ImageNetSRValidation
|
| params:
|
| size: 256
|
| degradation: pil_nearest
|
|
|
| lightning:
|
| callbacks:
|
| image_logger:
|
| target: main.ImageLogger
|
| params:
|
| batch_frequency: 1000
|
| max_images: 8
|
| increase_log_steps: True
|
|
|
| trainer:
|
| benchmark: True
|
| accumulate_grad_batches: 2
|
|
|
