add vae config

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Anthony Mercurio 2022-11-01 12:40:39 -07:00 committed by GitHub
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model:
base_learning_rate: 1.5e-7
target: ldm.models.autoencoder.AutoencoderKL
params:
monitor: "val/rec_loss"
embed_dim: 4
lossconfig:
target: ldm.modules.losses.LPIPSWithDiscriminator
params:
disc_start: 50001
kl_weight: 0.000001
disc_weight: 0.5
ddconfig:
double_z: True
z_channels: 4
resolution: 256
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
data:
target: main.DataModuleFromConfig
params:
num_workers: 16
batch_size: 16
wrap: True
train:
target: ldm.data.localdanbooruvae.LocalDanbooruBaseVAE
params:
data_root: "../dataset"
size: 256
mode: "train"
downscale_f: 8
validation:
target: ldm.data.localdanbooruvae.LocalDanbooruBaseVAE
params:
data_root: "../dataset"
size: 256
mode: "val"
val_split: 64
downscale_f: 8
lightning:
callbacks:
image_logger:
target: main.ImageLogger
params:
batch_frequency: 200
max_images: 4
increase_log_steps: True
trainer:
find_unused_parameters: True
benchmark: True
limit_val_batches: 0
num_sanity_val_steps: 0
accumulate_grad_batches: 1