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  1. samples/sdxs_08b_192x320_0.jpg +2 -2
  2. samples/sdxs_08b_256x320_0.jpg +2 -2
  3. samples/sdxs_08b_320x192_0.jpg +2 -2
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  5. samples/sdxs_08b_320x320_0.jpg +2 -2
  6. samples/sdxs_sdxl2_192x320_0.jpg +3 -0
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  10. samples/sdxs_sdxl2_320x320_0.jpg +3 -0
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  14. samples/sdxs_sdxl_320x256_0.jpg +3 -0
  15. samples/sdxs_sdxl_320x320_0.jpg +3 -0
  16. sdxs_08b/diffusion_pytorch_model.safetensors +1 -1
  17. sdxs_sdxl2/config.json +3 -0
  18. sdxs_sdxl2/diffusion_pytorch_model.safetensors +3 -0
  19. train.py +5 -5
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train.py CHANGED
@@ -28,16 +28,16 @@ from transformers import AutoTokenizer, AutoModel
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  # --------------------------- Параметры ---------------------------
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  ds_path = "/workspace/sdxs/datasets/mjnj"
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- project = "sdxs_08b"
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- batch_size = 192
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  base_learning_rate = 4e-5 #2.7e-5
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  min_learning_rate = 2e-5 #2.7e-5
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  num_epochs = 50
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- sample_interval_share = 2
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  cfg_dropout = 0.15
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  max_length = 192
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- use_wandb = True
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- use_comet_ml = False
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  save_model = True
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  use_decay = True
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  fbp = False
 
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  # --------------------------- Параметры ---------------------------
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  ds_path = "/workspace/sdxs/datasets/mjnj"
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+ project = "sdxs_sdxl2"
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+ batch_size = 72
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  base_learning_rate = 4e-5 #2.7e-5
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  min_learning_rate = 2e-5 #2.7e-5
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  num_epochs = 50
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+ sample_interval_share = 5
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  cfg_dropout = 0.15
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  max_length = 192
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+ use_wandb = False
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+ use_comet_ml = True
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  save_model = True
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  use_decay = True
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  fbp = False