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# based on https://github.com/CompVis/stable-diffusion/blob/main/configs/autoencoder/autoencoder_kl_32x32x4.yaml
model:
base_learning_rate: 4.5e-6
target: ldm.models.autoencoder.AutoencoderKL
params:
monitor: "val/rec_loss"
embed_dim: 1 # = in_channels
lossconfig:
target: ldm.modules.losses.LPIPSWithDiscriminator
params:
disc_start: 50001
kl_weight: 0.000001
disc_weight: 0.5
disc_in_channels: 1 # = out_ch
ddconfig:
double_z: True
z_channels: 1 # must = embed_dim due to HF limitation
resolution: 256
in_channels: 1
out_ch: 1
ch: 128
ch_mult: [ 1,2,4,4 ] # num_down = len(ch_mult)-1
num_res_blocks: 2
attn_resolutions: [ ]
dropout: 0.0
lightning:
trainer:
benchmark: True
accelerator: gpu
devices: 1
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