| # 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 | |