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Files changed (23) hide show
  1. samples/unet_384x704_0.jpg +2 -2
  2. samples/unet_416x704_0.jpg +2 -2
  3. samples/unet_448x704_0.jpg +2 -2
  4. samples/unet_480x704_0.jpg +2 -2
  5. samples/unet_512x704_0.jpg +2 -2
  6. samples/unet_544x704_0.jpg +2 -2
  7. samples/unet_576x704_0.jpg +2 -2
  8. samples/unet_608x704_0.jpg +2 -2
  9. samples/unet_640x704_0.jpg +2 -2
  10. samples/unet_672x704_0.jpg +2 -2
  11. samples/unet_704x384_0.jpg +2 -2
  12. samples/unet_704x416_0.jpg +2 -2
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  14. samples/unet_704x480_0.jpg +2 -2
  15. samples/unet_704x512_0.jpg +2 -2
  16. samples/unet_704x544_0.jpg +2 -2
  17. samples/unet_704x576_0.jpg +2 -2
  18. samples/unet_704x608_0.jpg +2 -2
  19. samples/unet_704x640_0.jpg +2 -2
  20. samples/unet_704x672_0.jpg +2 -2
  21. samples/unet_704x704_0.jpg +2 -2
  22. train.py +1 -1
  23. unet/diffusion_pytorch_model.safetensors +1 -1
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train.py CHANGED
@@ -717,7 +717,7 @@ for epoch in range(start_epoch, start_epoch + num_epochs):
717
  noise = torch.randn_like(latents, dtype=latents.dtype)
718
 
719
  # 3. Время t, bias = -0.5 (Фокус на Деталях ~300) bias = 0.5 (Фокус на структуре) bias = 0 (колокол/ равномерно)
720
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721
  t = torch.sigmoid(torch.randn(latents.shape[0], device=latents.device, dtype=latents.dtype) + bias)
722
 
723
  # интерполяция между x0 и шумом
 
717
  noise = torch.randn_like(latents, dtype=latents.dtype)
718
 
719
  # 3. Время t, bias = -0.5 (Фокус на Деталях ~300) bias = 0.5 (Фокус на структуре) bias = 0 (колокол/ равномерно)
720
+ bias = 0.25
721
  t = torch.sigmoid(torch.randn(latents.shape[0], device=latents.device, dtype=latents.dtype) + bias)
722
 
723
  # интерполяция между x0 и шумом
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