| model: | |
| base_learning_rate: 1.0e-06 | |
| target: ldm.models.diffusion.ddpm.LatentDiffusion | |
| params: | |
| linear_start: 0.0015 | |
| linear_end: 0.0205 | |
| log_every_t: 100 | |
| timesteps: 1000 | |
| loss_type: l1 | |
| first_stage_key: image | |
| cond_stage_key: masked_image | |
| image_size: 64 | |
| channels: 3 | |
| concat_mode: true | |
| monitor: val/loss | |
| scheduler_config: | |
| target: ldm.lr_scheduler.LambdaWarmUpCosineScheduler | |
| params: | |
| verbosity_interval: 0 | |
| warm_up_steps: 1000 | |
| max_decay_steps: 50000 | |
| lr_start: 0.001 | |
| lr_max: 0.1 | |
| lr_min: 0.0001 | |
| unet_config: | |
| target: ldm.modules.diffusionmodules.openaimodel.UNetModel | |
| params: | |
| image_size: 64 | |
| in_channels: 7 | |
| out_channels: 3 | |
| model_channels: 256 | |
| attention_resolutions: | |
| - 8 | |
| - 4 | |
| - 2 | |
| num_res_blocks: 2 | |
| channel_mult: | |
| - 1 | |
| - 2 | |
| - 3 | |
| - 4 | |
| num_heads: 8 | |
| resblock_updown: true | |
| first_stage_config: | |
| target: ldm.models.autoencoder.VQModelInterface | |
| params: | |
| embed_dim: 3 | |
| n_embed: 8192 | |
| monitor: val/rec_loss | |
| ddconfig: | |
| attn_type: none | |
| double_z: false | |
| z_channels: 3 | |
| resolution: 256 | |
| in_channels: 3 | |
| out_ch: 3 | |
| ch: 128 | |
| ch_mult: | |
| - 1 | |
| - 2 | |
| - 4 | |
| num_res_blocks: 2 | |
| attn_resolutions: [] | |
| dropout: 0.0 | |
| lossconfig: | |
| target: ldm.modules.losses.contperceptual.DummyLoss | |
| cond_stage_config: __is_first_stage__ | |