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sdxxs

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Files changed (15) hide show
  1. samples/sdxxs_448x768_0.jpg +2 -2
  2. samples/sdxxs_512x768_0.jpg +2 -2
  3. samples/sdxxs_576x768_0.jpg +2 -2
  4. samples/sdxxs_640x768_0.jpg +2 -2
  5. samples/sdxxs_704x768_0.jpg +2 -2
  6. samples/sdxxs_768x448_0.jpg +2 -2
  7. samples/sdxxs_768x512_0.jpg +2 -2
  8. samples/sdxxs_768x576_0.jpg +2 -2
  9. samples/sdxxs_768x640_0.jpg +2 -2
  10. samples/sdxxs_768x704_0.jpg +2 -2
  11. samples/sdxxs_768x768_0.jpg +2 -2
  12. sdxxs/config.json +2 -2
  13. sdxxs/diffusion_pytorch_model.safetensors +2 -2
  14. train.py +6 -6
  15. train_sdxxs.py +1 -1
samples/sdxxs_448x768_0.jpg CHANGED

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samples/sdxxs_512x768_0.jpg CHANGED

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samples/sdxxs_576x768_0.jpg CHANGED

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samples/sdxxs_640x768_0.jpg CHANGED

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samples/sdxxs_768x576_0.jpg CHANGED

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samples/sdxxs_768x768_0.jpg CHANGED

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sdxxs/config.json CHANGED
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+ size 1951
sdxxs/diffusion_pytorch_model.safetensors CHANGED
@@ -1,3 +1,3 @@
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+ size 7010934208
train.py CHANGED
@@ -23,13 +23,13 @@ import bitsandbytes as bnb
23
 
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  # --------------------------- 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 = 50 #26 #45 #11 #45 #555 #35 #7
27
- base_learning_rate = 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
28
  min_learning_rate = 2.5e-5 #2e-5
29
  num_epochs = 1 #2 #36 #18
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- project = "sdxxxs"
31
- use_wandb = False
32
- save_model = False
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  limit = 0 #200000 #0
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  checkpoints_folder = ""
35
 
@@ -37,7 +37,7 @@ checkpoints_folder = ""
37
  n_diffusion_steps = 40
38
  samples_to_generate = 12
39
  guidance_scale = 5
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- sample_interval_share = 50 # samples/save per epoch
41
 
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  # Папки для сохранения результатов
43
  generated_folder = "samples"
 
23
 
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  # --------------------------- 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 #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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  min_learning_rate = 2.5e-5 #2e-5
29
  num_epochs = 1 #2 #36 #18
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+ project = "sdxxs" #"sdxxxs"
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+ use_wandb = True
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+ save_model = True
33
  limit = 0 #200000 #0
34
  checkpoints_folder = ""
35
 
 
37
  n_diffusion_steps = 40
38
  samples_to_generate = 12
39
  guidance_scale = 5
40
+ sample_interval_share = 25 # samples/save per epoch
41
 
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  # Папки для сохранения результатов
43
  generated_folder = "samples"
train_sdxxs.py CHANGED
@@ -23,7 +23,7 @@ import bitsandbytes as bnb
23
 
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 = 60 #30 #26 #45 #11 #45 #555 #35 #7
27
  base_learning_rate = 2.5e-5 #4e-6 #2e-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
28
  min_learning_rate = 2.5e-5 #2e-5
29
  num_epochs = 1 #2 #36 #18
 
23
 
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 = 50 #30 #26 #45 #11 #45 #555 #35 #7
27
  base_learning_rate = 2.5e-5 #4e-6 #2e-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
28
  min_learning_rate = 2.5e-5 #2e-5
29
  num_epochs = 1 #2 #36 #18