| model: | |
| base_learning_rate: 2.0e-05 | |
| target: ldm.models.diffusion.ddpm.LatentDiffusion | |
| params: | |
| linear_start: 0.0015 | |
| linear_end: 0.0195 | |
| num_timesteps_cond: 1 | |
| log_every_t: 200 | |
| timesteps: 1000 | |
| first_stage_key: image | |
| cond_stage_key: hybrid | |
| image_size: 64 | |
| channels: 3 | |
| cond_stage_trainable: true | |
| conditioning_key: crossattn | |
| use_ema: true | |
| x_feat_extracted: true | |
| scheduler_config: | |
| target: ldm.lr_scheduler.LambdaLinearScheduler | |
| params: | |
| warm_up_steps: | |
| - 1000 | |
| 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: | |
| use_checkpoint: true | |
| use_fp16: true | |
| image_size: 64 | |
| in_channels: 3 | |
| out_channels: 3 | |
| model_channels: 192 | |
| attention_resolutions: | |
| - 8 | |
| - 4 | |
| - 2 | |
| num_res_blocks: 2 | |
| channel_mult: | |
| - 1 | |
| - 2 | |
| - 3 | |
| - 5 | |
| num_heads: 1 | |
| use_spatial_transformer: true | |
| transformer_depth: 1 | |
| context_dim: 512 | |
| ckpt_path: models/ldm_imgnet_unet.ckpt | |
| first_stage_config: | |
| target: ldm.models.autoencoder.VQModelInterface | |
| params: | |
| # ckpt_path: models/vq_f4.ckpt | |
| embed_dim: 3 | |
| n_embed: 8192 | |
| 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.Identity | |
| cond_stage_config: | |
| target: ldm.modules.encoders.modules.EmbeddingViT2_5 | |
| params: | |
| feat_key: ssl_feat | |
| mag_key: mag | |
| num_layers: 12 | |
| input_channels: 1024 | |
| hidden_channels: 512 | |
| vit_mlp_dim: 2048 | |
| p_uncond: 0.1 | |
| # data: | |
| # target: main.DataModuleFromConfig | |
| # params: | |
| # batch_size: 420 | |
| # num_workers: 8 | |
| # wrap: false | |
| # train: | |
| # target: ldm.data.brca.TCGADataset | |
| # params: | |
| # config: | |
| # root: "" | |
| # normalize_ssl: true | |
| # feat_target_size: 8 | |