stable-diffusion-finetune/models/first_stage_models/vq-f4/config.yaml

46 lines
955 B
YAML

model:
base_learning_rate: 4.5e-06
target: ldm.models.autoencoder.VQModel
params:
embed_dim: 3
n_embed: 8192
monitor: val/rec_loss
ddconfig:
double_z: false
z_channels: 3
resolution: 256
in_channels: 3
out_ch: 3
ch: 128
ch_mult:
- 1
- 2
- 4
num_res_blocks: 2
attn_resolutions: []
dropout: 0.0
lossconfig:
target: taming.modules.losses.vqperceptual.VQLPIPSWithDiscriminator
params:
disc_conditional: false
disc_in_channels: 3
disc_start: 0
disc_weight: 0.75
codebook_weight: 1.0
data:
target: main.DataModuleFromConfig
params:
batch_size: 8
num_workers: 16
wrap: true
train:
target: ldm.data.openimages.FullOpenImagesTrain
params:
crop_size: 256
validation:
target: ldm.data.openimages.FullOpenImagesValidation
params:
crop_size: 256