| model: | |
| base_learning_rate: 5.0e-05 | |
| target: ldm.models.diffusion.ddpm.LatentDiffusion | |
| params: | |
| linear_start: 0.0015 | |
| linear_end: 0.0155 | |
| num_timesteps_cond: 1 | |
| log_every_t: 200 | |
| timesteps: 1000 | |
| loss_type: l1 | |
| first_stage_key: image | |
| cond_stage_key: image | |
| image_size: 32 | |
| channels: 4 | |
| cond_stage_trainable: false | |
| concat_mode: false | |
| scale_by_std: true | |
| monitor: val/loss_simple_ema | |
| scheduler_config: | |
| target: ldm.lr_scheduler.LambdaLinearScheduler | |
| params: | |
| warm_up_steps: | |
| - 10000 | |
| cycle_lengths: | |
| - 10000000000000 | |
| f_start: | |
| - 1.0e-06 | |
| f_max: | |
| - 1.0 | |
| f_min: | |
| - 1.0 | |
| unet_config: | |
| target: ldm.modules.diffusionmodules.openaimodel.UNetModel | |
| params: | |
| image_size: 32 | |
| in_channels: 4 | |
| out_channels: 4 | |
| model_channels: 192 | |
| attention_resolutions: | |
| - 1 | |
| - 2 | |
| - 4 | |
| - 8 | |
| num_res_blocks: 2 | |
| channel_mult: | |
| - 1 | |
| - 2 | |
| - 2 | |
| - 4 | |
| - 4 | |
| num_heads: 8 | |
| use_scale_shift_norm: true | |
| resblock_updown: true | |
| first_stage_config: | |
| target: ldm.models.autoencoder.AutoencoderKL | |
| params: | |
| embed_dim: 4 | |
| monitor: val/rec_loss | |
| ddconfig: | |
| double_z: true | |
| z_channels: 4 | |
| resolution: 256 | |
| in_channels: 3 | |
| out_ch: 3 | |
| ch: 128 | |
| ch_mult: | |
| - 1 | |
| - 2 | |
| - 4 | |
| - 4 | |
| num_res_blocks: 2 | |
| attn_resolutions: [] | |
| dropout: 0.0 | |
| lossconfig: | |
| target: torch.nn.Identity | |
| cond_stage_config: '__is_unconditional__' | |
| data: | |
| target: main.DataModuleFromConfig | |
| params: | |
| batch_size: 96 | |
| num_workers: 5 | |
| wrap: false | |
| train: | |
| target: ldm.data.lsun.LSUNChurchesTrain | |
| params: | |
| size: 256 | |
| validation: | |
| target: ldm.data.lsun.LSUNChurchesValidation | |
| params: | |
| size: 256 | |