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  1. samples/sdxs_08b_192x320_0.jpg +2 -2
  2. samples/sdxs_08b_256x320_0.jpg +2 -2
  3. samples/sdxs_08b_320x192_0.jpg +2 -2
  4. samples/sdxs_08b_320x256_0.jpg +2 -2
  5. samples/sdxs_08b_320x320_0.jpg +2 -2
  6. sdxs_08b/diffusion_pytorch_model.safetensors +1 -1
  7. train.py +2 -2
  8. train_flux.py +3 -3
samples/sdxs_08b_192x320_0.jpg CHANGED

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samples/sdxs_08b_256x320_0.jpg CHANGED

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samples/sdxs_08b_320x192_0.jpg CHANGED

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samples/sdxs_08b_320x256_0.jpg CHANGED

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samples/sdxs_08b_320x320_0.jpg CHANGED

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sdxs_08b/diffusion_pytorch_model.safetensors CHANGED
@@ -1,3 +1,3 @@
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  version https://git-lfs.github.com/spec/v1
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- oid sha256:f74021d28806f03df406d8e9e5a9e78d3ecbc3dc4e508a8f594282f04e17a964
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  size 3376002424
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:e06782dffbfbadb10652c76a824c0b8c9f2136722d04be700134846b52a98c41
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  size 3376002424
train.py CHANGED
@@ -29,12 +29,12 @@ from transformers import AutoTokenizer, AutoModel
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  # --------------------------- Параметры ---------------------------
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  ds_path = "/workspace/sdxs/datasets/mjnj"
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  project = "sdxs_08b"
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- batch_size = 100
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  base_learning_rate = 4e-5 #2.7e-5
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  min_learning_rate = 1e-5 #2.7e-5
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  num_epochs = 15
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  sample_interval_share = 5
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- cfg_dropout = 0.25
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  max_length = 192
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  use_wandb = True
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  use_comet_ml = False
 
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  # --------------------------- Параметры ---------------------------
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  ds_path = "/workspace/sdxs/datasets/mjnj"
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  project = "sdxs_08b"
32
+ batch_size = 192
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  base_learning_rate = 4e-5 #2.7e-5
34
  min_learning_rate = 1e-5 #2.7e-5
35
  num_epochs = 15
36
  sample_interval_share = 5
37
+ cfg_dropout = 0.2
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  max_length = 192
39
  use_wandb = True
40
  use_comet_ml = False
train_flux.py CHANGED
@@ -31,10 +31,10 @@ ds_path = "/workspace/sdxs/datasets/mjnj"
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  project = "sdxs_flux"
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  batch_size = 256
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  base_learning_rate = 4e-5 #2.7e-5
34
- min_learning_rate = 9e-6 #2.7e-5
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- num_epochs = 20
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  sample_interval_share = 3
37
- cfg_dropout = 0.5
38
  max_length = 192
39
  use_wandb = True
40
  use_comet_ml = False
 
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  project = "sdxs_flux"
32
  batch_size = 256
33
  base_learning_rate = 4e-5 #2.7e-5
34
+ min_learning_rate = 1e-5 #2.7e-5
35
+ num_epochs = 15
36
  sample_interval_share = 3
37
+ cfg_dropout = 0.25
38
  max_length = 192
39
  use_wandb = True
40
  use_comet_ml = False