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configs/2023-10-22T14-53-45-lightning.yaml

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+lightning:
+  find_unused_parameters: false
+  modelcheckpoint:
+    params:
+      every_n_train_steps: 2000
+      save_top_k: -1
+      monitor: null
+  callbacks:
+    image_logger:
+      target: main.ImageLogger
+      params:
+        batch_frequency: 2000
+        max_images: 4
+        increase_log_steps: false
+        log_first_step: true
+        log_all_val: true
+        log_images_kwargs:
+          use_ema_scope: true
+          inpaint: false
+          plot_progressive_rows: false
+          plot_diffusion_rows: false
+          'N': 4
+          unconditional_guidance_scale: 3.0
+          unconditional_guidance_label:
+          - ''
+  trainer:
+    benchmark: true
+    num_sanity_val_steps: 0
+    accumulate_grad_batches: 2
+    accelerator: ddp
+    check_val_every_n_epoch: 6
+    gpus: 0,1,

configs/2023-10-22T14-53-45-project.yaml

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+model:
+  base_learning_rate: 0.0001
+  target: ldm.models.diffusion.ddpm.LatentDiffusion
+  params:
+    linear_start: 0.00085
+    linear_end: 0.012
+    num_timesteps_cond: 1
+    log_every_t: 200
+    timesteps: 1000
+    first_stage_key: image
+    cond_stage_key: txt
+    image_size: 64
+    channels: 4
+    cond_stage_trainable: false
+    conditioning_key: crossattn
+    scale_factor: 0.18215
+    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: 320
+        attention_resolutions:
+        - 4
+        - 2
+        - 1
+        num_res_blocks: 2
+        channel_mult:
+        - 1
+        - 2
+        - 4
+        - 4
+        num_heads: 8
+        use_spatial_transformer: true
+        transformer_depth: 1
+        context_dim: 768
+        use_checkpoint: true
+        legacy: false
+    first_stage_config:
+      target: ldm.models.autoencoder.AutoencoderKL
+      ckpt_path: models/first_stage_models/kl-f8/model.ckpt
+      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:
+      target: ldm.modules.encoders.modules.FrozenCLIPEmbedder
+data:
+  target: main.DataModuleFromConfig
+  params:
+    batch_size: 4
+    num_workers: 4
+    num_val_workers: 0
+    train:
+      target: ldm.data.simple.hf_dataset
+      params:
+        name: hdparmar/irish-traditional-tunes
+        image_transforms:
+        - target: torchvision.transforms.RandomHorizontalFlip
+    validation:
+      target: ldm.data.simple.TextOnly
+      params:
+        captions:
+        - An Irish Traditional tune with vibrant bouzouki strums
+        - An Irish Traditional Tune
+        - A traditional Irish slip jig rhythm
+        - A lively Irish Traditional Tune with a prominent fiddle lead
+        output_size: 512
+        n_gpus: 2