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configs/08-03T09-35-lightning.yaml

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+lightning:
+  callbacks:
+    image_logger:
+      target: main.ImageLogger
+      params:
+        batch_frequency: 5000
+        max_images: 8
+        increase_log_steps: false
+        log_images_kwargs:
+          quantize_denoised: false
+          inpaint: false
+    model_checkpoint:
+      target: pytorch_lightning.callbacks.ModelCheckpoint
+      params:
+        save_weights_only: true
+  trainer:
+    benchmark: true
+    accelerator: ddp
+    gpus: 0,1,2

configs/08-03T09-35-project.yaml

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+model:
+  base_learning_rate: 2.5e-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: caption
+    image_size: 64
+    channels: 3
+    cond_stage_trainable: false
+    conditioning_key: crossattn
+    monitor: val/loss
+    use_ema: false
+    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:
+        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/cin256-v2/unet.ckpt
+    first_stage_config:
+      target: ldm.models.autoencoder.VQModelInterface
+      params:
+        ckpt_path: models/first_stage_models/vq-f4-tcga-brca/last.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.FrozenCLIPEmbedder
+      params:
+        version: vinid/plip
+        max_length: 154
+data:
+  target: main.DataModuleFromConfig
+  params:
+    batch_size: 48
+    num_workers: 12
+    wrap: false
+    train:
+      target: ldm.data.text_cond.tumor_til_in_text.TCGADataset
+      params:
+        config:
+          root: /home/myellapragad/summer23/TCGA_dataset
+          split: train
+          crop_size: 256
+          num_levels: 2
+          p_uncond: 0.1
+    validation:
+      target: ldm.data.text_cond.tumor_til_in_text.TCGADataset
+      params:
+        config:
+          root: /home/myellapragad/summer23/TCGA_dataset
+          split: test
+          crop_size: 256
+          num_levels: 2