| model: | |
| base_learning_rate: 4.5e-06 | |
| target: ldm.models.autoencoder.VQModel | |
| params: | |
| embed_dim: 4 | |
| n_embed: 16384 | |
| monitor: val/rec_loss | |
| ddconfig: | |
| double_z: false | |
| z_channels: 4 | |
| resolution: 256 | |
| in_channels: 3 | |
| out_ch: 3 | |
| ch: 128 | |
| ch_mult: | |
| - 1 | |
| - 2 | |
| - 2 | |
| - 4 | |
| num_res_blocks: 2 | |
| attn_resolutions: | |
| - 32 | |
| dropout: 0.0 | |
| lossconfig: | |
| target: taming.modules.losses.vqperceptual.VQLPIPSWithDiscriminator | |
| params: | |
| disc_conditional: false | |
| disc_in_channels: 3 | |
| disc_num_layers: 2 | |
| disc_start: 1 | |
| disc_weight: 0.6 | |
| codebook_weight: 1.0 | |
| data: | |
| target: main.DataModuleFromConfig | |
| params: | |
| batch_size: 10 | |
| num_workers: 20 | |
| wrap: true | |
| train: | |
| target: ldm.data.openimages.FullOpenImagesTrain | |
| params: | |
| size: 384 | |
| crop_size: 256 | |
| validation: | |
| target: ldm.data.openimages.FullOpenImagesValidation | |
| params: | |
| size: 384 | |
| crop_size: 256 | |