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delete_sdxxs

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Files changed (44) hide show
  1. result_grid.jpg +2 -2
  2. samples/sdxs_448x768_0.jpg +2 -2
  3. samples/sdxs_512x768_0.jpg +2 -2
  4. samples/sdxs_576x768_0.jpg +2 -2
  5. samples/sdxs_640x768_0.jpg +2 -2
  6. samples/sdxs_704x768_0.jpg +2 -2
  7. samples/sdxs_768x448_0.jpg +2 -2
  8. samples/sdxs_768x512_0.jpg +2 -2
  9. samples/sdxs_768x576_0.jpg +2 -2
  10. samples/sdxs_768x640_0.jpg +2 -2
  11. samples/sdxs_768x704_0.jpg +2 -2
  12. samples/sdxs_768x768_0.jpg +2 -2
  13. samples/sdxxs_448x768_0.jpg +0 -3
  14. samples/sdxxs_512x768_0.jpg +0 -3
  15. samples/sdxxs_576x768_0.jpg +0 -3
  16. samples/sdxxs_640x768_0.jpg +0 -3
  17. samples/sdxxs_704x768_0.jpg +0 -3
  18. samples/sdxxs_768x448_0.jpg +0 -3
  19. samples/sdxxs_768x512_0.jpg +0 -3
  20. samples/sdxxs_768x576_0.jpg +0 -3
  21. samples/sdxxs_768x640_0.jpg +0 -3
  22. samples/sdxxs_768x704_0.jpg +0 -3
  23. samples/sdxxs_768x768_0.jpg +0 -3
  24. samples/sdxxxs_448x768_0.jpg +0 -3
  25. samples/sdxxxs_512x768_0.jpg +0 -3
  26. samples/sdxxxs_576x768_0.jpg +0 -3
  27. samples/sdxxxs_640x768_0.jpg +0 -3
  28. samples/sdxxxs_704x768_0.jpg +0 -3
  29. samples/sdxxxs_768x448_0.jpg +0 -3
  30. samples/sdxxxs_768x512_0.jpg +0 -3
  31. samples/sdxxxs_768x576_0.jpg +0 -3
  32. samples/sdxxxs_768x640_0.jpg +0 -3
  33. samples/sdxxxs_768x704_0.jpg +0 -3
  34. samples/sdxxxs_768x768_0.jpg +0 -3
  35. sdxs/config.json +2 -2
  36. sdxs/diffusion_pytorch_model.safetensors +2 -2
  37. sdxxs/config.json +0 -3
  38. sdxxs/diffusion_pytorch_model.safetensors +0 -3
  39. sdxxxs/config.json +0 -3
  40. sdxxxs/diffusion_pytorch_model.safetensors +0 -3
  41. test.ipynb +2 -2
  42. train.py +5 -5
  43. unet/config.json +2 -2
  44. unet/diffusion_pytorch_model.fp16.safetensors +2 -2
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train.py CHANGED
@@ -24,9 +24,9 @@ import bitsandbytes as bnb
24
  # --------------------------- Параметры ---------------------------
25
  save_path = "datasets/768" # "datasets/576" #"datasets/576p2" #"datasets/1152p2" #"datasets/576p2" #"datasets/dataset384_temp" #"datasets/dataset384" #"datasets/imagenet-1kk" #"datasets/siski576" #"datasets/siski384" #"datasets/siski64" #"datasets/mnist"
26
  batch_size = 26 #26 #45 #11 #45 #555 #35 #7
27
- base_learning_rate = 1e-5 #2.5e-5 #4e-6 #9.5e-7 #9e-7 #2e-6 #1e-6 #9e-7 #1e-6 #2e-6 #1e-6 #2e-6 #6e-6 #2e-6 #8e-7 #6e-6 #2e-5 #4e-5 #3e-5 #5e-5 #8e-5
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- project = "sdxxs" #"sdxxxs"
30
  use_wandb = True
31
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  limit = 0 #200000 #0
@@ -36,7 +36,7 @@ checkpoints_folder = ""
36
  n_diffusion_steps = 40
37
  samples_to_generate = 12
38
  guidance_scale = 5
39
- sample_interval_share = 20 # samples/save per epoch
40
 
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  # Папки для сохранения результатов
42
  generated_folder = "samples"
@@ -45,7 +45,7 @@ os.makedirs(generated_folder, exist_ok=True)
45
  # Настройка seed для воспроизводимости
46
  current_date = datetime.now()
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  seed = int(current_date.strftime("%Y%m%d"))
48
- fixed_seed = True
49
  if fixed_seed:
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  torch.manual_seed(seed)
51
  np.random.seed(seed)
 
24
  # --------------------------- Параметры ---------------------------
25
  save_path = "datasets/768" # "datasets/576" #"datasets/576p2" #"datasets/1152p2" #"datasets/576p2" #"datasets/dataset384_temp" #"datasets/dataset384" #"datasets/imagenet-1kk" #"datasets/siski576" #"datasets/siski384" #"datasets/siski64" #"datasets/mnist"
26
  batch_size = 26 #26 #45 #11 #45 #555 #35 #7
27
+ base_learning_rate = 2.5e-5 #1e-5 #2.5e-5 #4e-6 #9.5e-7 #9e-7 #2e-6 #1e-6 #9e-7 #1e-6 #2e-6 #1e-6 #2e-6 #6e-6 #2e-6 #8e-7 #6e-6 #2e-5 #4e-5 #3e-5 #5e-5 #8e-5
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29
+ project = "sdxs" #"sdxxxs"
30
  use_wandb = True
31
  save_model = True
32
  limit = 0 #200000 #0
 
36
  n_diffusion_steps = 40
37
  samples_to_generate = 12
38
  guidance_scale = 5
39
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40
 
41
  # Папки для сохранения результатов
42
  generated_folder = "samples"
 
45
  # Настройка seed для воспроизводимости
46
  current_date = datetime.now()
47
  seed = int(current_date.strftime("%Y%m%d"))
48
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