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model:
base_learning_rate: 4.5e-06
target: taming.models.vqgan.VQSegmentationModel
params:
embed_dim: 256
n_embed: 1024
image_key: "segmentation"
n_labels: 182
ddconfig:
double_z: false
z_channels: 256
resolution: 256
in_channels: 182
out_ch: 182
ch: 128
ch_mult:
- 1
- 1
- 2
- 2
- 4
num_res_blocks: 2
attn_resolutions:
- 16
dropout: 0.0
lossconfig:
target: taming.modules.losses.segmentation.BCELossWithQuant
params:
codebook_weight: 1.0
data:
target: cutlit.DataModuleFromConfig
params:
batch_size: 12
train:
target: taming.data.sflckr.Examples # adjust
params:
size: 256
validation:
target: taming.data.sflckr.Examples # adjust
params:
size: 256
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