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| model: | |
| base_learning_rate: 4.5e-6 | |
| target: taming.models.vqgan.VQModel | |
| params: | |
| embed_dim: 256 | |
| n_embed: 1024 | |
| ddconfig: | |
| double_z: False | |
| z_channels: 256 | |
| resolution: 256 | |
| in_channels: 3 | |
| out_ch: 3 | |
| ch: 128 | |
| ch_mult: [ 1,1,2,2,4] # num_down = len(ch_mult)-1 | |
| num_res_blocks: 2 | |
| attn_resolutions: [16] | |
| dropout: 0.0 | |
| lossconfig: | |
| target: taming.modules.losses.vqperceptual.VQLPIPSWithDiscriminator | |
| params: | |
| disc_conditional: False | |
| disc_in_channels: 3 | |
| disc_start: 10000 | |
| disc_weight: 0.8 | |
| codebook_weight: 1.0 | |
| data: | |
| target: main.DataModuleFromConfig | |
| params: | |
| batch_size: 5 | |
| num_workers: 8 | |
| train: | |
| target: taming.data.custom.CustomTrain | |
| params: | |
| training_images_list_file: some/training.txt | |
| size: 256 | |
| validation: | |
| target: taming.data.custom.CustomTest | |
| params: | |
| test_images_list_file: some/test.txt | |
| size: 256 | |