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Files changed (23) hide show
  1. samples/unet_320x640_0.jpg +2 -2
  2. samples/unet_352x640_0.jpg +2 -2
  3. samples/unet_384x640_0.jpg +2 -2
  4. samples/unet_416x640_0.jpg +2 -2
  5. samples/unet_448x640_0.jpg +2 -2
  6. samples/unet_480x640_0.jpg +2 -2
  7. samples/unet_512x640_0.jpg +2 -2
  8. samples/unet_544x640_0.jpg +2 -2
  9. samples/unet_576x640_0.jpg +2 -2
  10. samples/unet_608x640_0.jpg +2 -2
  11. samples/unet_640x320_0.jpg +2 -2
  12. samples/unet_640x352_0.jpg +2 -2
  13. samples/unet_640x384_0.jpg +2 -2
  14. samples/unet_640x416_0.jpg +2 -2
  15. samples/unet_640x448_0.jpg +2 -2
  16. samples/unet_640x480_0.jpg +2 -2
  17. samples/unet_640x512_0.jpg +2 -2
  18. samples/unet_640x544_0.jpg +2 -2
  19. samples/unet_640x576_0.jpg +2 -2
  20. samples/unet_640x608_0.jpg +2 -2
  21. samples/unet_640x640_0.jpg +2 -2
  22. train.py +1 -6
  23. unet/diffusion_pytorch_model.safetensors +1 -1
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train.py CHANGED
@@ -568,12 +568,7 @@ def save_checkpoint(unet, variant=""):
568
  os.path.join(checkpoints_folder, f"{project}"), variant=variant
569
  )
570
  else:
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- #model_to_save.save_pretrained(os.path.join(checkpoints_folder, f"{project}"))
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- accelerator.save_model(
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- unet,
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- os.path.join(checkpoints_folder, f"{project}/diffusion_pytorch_model"),
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- safe_serialization=True
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- )
577
 
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  torch.cuda.synchronize()
579
  torch.cuda.empty_cache()
 
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  os.path.join(checkpoints_folder, f"{project}"), variant=variant
569
  )
570
  else:
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+ model_to_save.save_pretrained(os.path.join(checkpoints_folder, f"{project}"))
 
 
 
 
 
572
 
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  torch.cuda.synchronize()
574
  torch.cuda.empty_cache()
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