55 lines
1.1 KiB
YAML
55 lines
1.1 KiB
YAML
|
model:
|
||
|
|
base_learning_rate: 4.5e-6
|
||
|
|
target: ldm.models.autoencoder.AutoencoderKL
|
||
|
|
params:
|
||
|
|
monitor: "val/rec_loss"
|
||
|
|
embed_dim: 16
|
||
|
|
lossconfig:
|
||
|
|
target: ldm.modules.losses.LPIPSWithDiscriminator
|
||
|
|
params:
|
||
|
|
disc_start: 50001
|
||
|
|
kl_weight: 0.000001
|
||
|
|
disc_weight: 0.5
|
||
|
|
|
||
|
|
ddconfig:
|
||
|
|
double_z: True
|
||
|
|
z_channels: 16
|
||
|
|
resolution: 256
|
||
|
|
in_channels: 3
|
||
|
|
out_ch: 3
|
||
|
|
ch: 128
|
||
|
|
ch_mult: [ 1,1,2,2,4] # num_down = len(ch_mult)-1
|
||
|
|
num_res_blocks: 2
|
||
|
|
attn_resolutions: [16]
|
||
|
|
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
|