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  1. samples/unet_320x640_0.jpg +3 -0
  2. samples/unet_384x640_0.jpg +3 -0
  3. samples/unet_448x640_0.jpg +3 -0
  4. samples/unet_512x640_0.jpg +3 -0
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  6. samples/unet_640x320_0.jpg +3 -0
  7. samples/unet_640x384_0.jpg +3 -0
  8. samples/unet_640x448_0.jpg +3 -0
  9. samples/unet_640x512_0.jpg +3 -0
  10. samples/unet_640x576_0.jpg +3 -0
  11. samples/unet_640x640_0.jpg +3 -0
  12. train.py +2 -2
  13. unet/config.json +2 -2
  14. unet/diffusion_pytorch_model.safetensors +2 -2
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train.py CHANGED
@@ -26,12 +26,12 @@ import torch.nn.functional as F
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  from collections import deque
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  # --------------------------- Параметры ---------------------------
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- ds_path = "/workspace/sdxs3d/datasets/640"
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  project = "unet"
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  batch_size = 48
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  base_learning_rate = 5e-5
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  min_learning_rate = 1e-5
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- num_epochs = 40
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  # samples/save per epoch
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  sample_interval_share = 3
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  use_wandb = True
 
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  from collections import deque
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  # --------------------------- Параметры ---------------------------
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+ ds_path = "/workspace/sdxs/datasets/640"
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  project = "unet"
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  batch_size = 48
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  base_learning_rate = 5e-5
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  min_learning_rate = 1e-5
34
+ num_epochs = 50
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  # samples/save per epoch
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  sample_interval_share = 3
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  use_wandb = True
unet/config.json CHANGED
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