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  1. samples/unet_192x384_0.jpg +2 -2
  2. samples/unet_256x384_0.jpg +2 -2
  3. samples/unet_320x384_0.jpg +2 -2
  4. samples/unet_384x192_0.jpg +2 -2
  5. samples/unet_384x256_0.jpg +2 -2
  6. samples/unet_384x320_0.jpg +2 -2
  7. samples/unet_384x384_0.jpg +2 -2
  8. src/dataset_from_folder.py +4 -4
  9. unet/diffusion_pytorch_model.safetensors +1 -1
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src/dataset_from_folder.py CHANGED
@@ -21,14 +21,14 @@ from datetime import timedelta
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  dtype = torch.float16
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  device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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  batch_size = 5
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- min_size = 192 #256 #192
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- max_size = 384 #256 #384
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- step = 64
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  empty_share = 0.05
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  limit = 0
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  # Основная процедура обработки
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  folder_path = "/workspace/animesfw" #alchemist"
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- save_path = "/workspace/animesfw384" #"alchemist"
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  os.makedirs(save_path, exist_ok=True)
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  # Функция для очистки CUDA памяти
 
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  dtype = torch.float16
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  device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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  batch_size = 5
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+ min_size = 384 #192 #256 #192
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+ max_size = 640 #384 #256 #384
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+ step = 128 #64
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  empty_share = 0.05
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  limit = 0
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  # Основная процедура обработки
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  folder_path = "/workspace/animesfw" #alchemist"
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+ save_path = "/workspace/animesfw640" #"alchemist"
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  os.makedirs(save_path, exist_ok=True)
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  # Функция для очистки CUDA памяти
unet/diffusion_pytorch_model.safetensors CHANGED
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  size 6184944280
 
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