| model: |
| base_learning_rate: 1.0e-06 |
| target: ldsrlib.ldm.models.diffusion.ddpm.LatentDiffusion |
| params: |
| linear_start: 0.0015 |
| linear_end: 0.0155 |
| log_every_t: 100 |
| timesteps: 1000 |
| loss_type: l2 |
| first_stage_key: image |
| cond_stage_key: LR_image |
| image_size: 64 |
| channels: 3 |
| concat_mode: true |
| cond_stage_trainable: false |
| unet_config: |
| target: ldsrlib.ldm.modules.diffusionmodules.openaimodel.UNetModel |
| params: |
| image_size: 64 |
| in_channels: 6 |
| out_channels: 3 |
| model_channels: 160 |
| attention_resolutions: |
| - 16 |
| - 8 |
| num_res_blocks: 2 |
| channel_mult: |
| - 1 |
| - 2 |
| - 2 |
| - 4 |
| num_head_channels: 32 |
| first_stage_config: |
| target: ldsrlib.ldm.models.autoencoder.VQModelInterface |
| params: |
| embed_dim: 3 |
| n_embed: 8192 |
| monitor: val/rec_loss |
| ddconfig: |
| 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: torch.nn.Module |
| cond_stage_config: |
| target: torch.nn.Identity |
