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Files changed (13) hide show
  1. dataset.py +4 -4
  2. samples/unet_320x640_0.jpg +2 -2
  3. samples/unet_384x640_0.jpg +2 -2
  4. samples/unet_448x640_0.jpg +2 -2
  5. samples/unet_512x640_0.jpg +2 -2
  6. samples/unet_576x640_0.jpg +2 -2
  7. samples/unet_640x320_0.jpg +2 -2
  8. samples/unet_640x384_0.jpg +2 -2
  9. samples/unet_640x448_0.jpg +2 -2
  10. samples/unet_640x512_0.jpg +2 -2
  11. samples/unet_640x576_0.jpg +2 -2
  12. samples/unet_640x640_0.jpg +2 -2
  13. unet/diffusion_pytorch_model.safetensors +1 -1
dataset.py CHANGED
@@ -18,17 +18,17 @@ from tqdm import tqdm
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  from datetime import timedelta
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  # ---------------- 1️⃣ Настройки ----------------
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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 = 10
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  min_size = 384 #320 #192 #256 #192
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  max_size = 768 #640 #384 #256 #384
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  step = 32 #64
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  empty_share = 0.0
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  limit = 0
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  # Основная процедура обработки
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- folder_path = "/workspace/dataset/dataset/ae3" #alchemist"
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- save_path = "/workspace/ae3_768" #"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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  from datetime import timedelta
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  # ---------------- 1️⃣ Настройки ----------------
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+ dtype = torch.float32
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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 #320 #192 #256 #192
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  max_size = 768 #640 #384 #256 #384
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  step = 32 #64
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  empty_share = 0.0
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  limit = 0
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  # Основная процедура обработки
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+ folder_path = "/workspace/ds" #alchemist"
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+ save_path = "/workspace/768" #"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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