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  1. dataset.toml +14 -0
  2. sample/showerwet_000200_00_20250111160452.png +0 -0
  3. sample/showerwet_000400_00_20250111160651.png +0 -0
  4. sample/showerwet_000600_00_20250111160849.png +0 -0
  5. sample/showerwet_000800_00_20250111161048.png +0 -0
  6. sample/showerwet_001000_00_20250111161246.png +0 -0
  7. sample/showerwet_001200_00_20250111161444.png +0 -0
  8. sample/showerwet_001400_00_20250111161642.png +0 -0
  9. sample/showerwet_001600_00_20250111161840.png +0 -0
  10. sample/showerwet_001800_00_20250111162038.png +0 -0
  11. sample/showerwet_002000_00_20250111162237.png +0 -0
  12. sample/showerwet_002200_00_20250111162434.png +0 -0
  13. sample/showerwet_002400_00_20250111162633.png +0 -0
  14. sample/showerwet_002600_00_20250111162831.png +0 -0
  15. sample/showerwet_002800_00_20250111163028.png +0 -0
  16. sample/showerwet_003000_00_20250111163225.png +0 -0
  17. sample/showerwet_003200_00_20250111163424.png +0 -0
  18. sample/showerwet_003400_00_20250111163622.png +0 -0
  19. sample/showerwet_003600_00_20250111163819.png +0 -0
  20. sample/showerwet_003800_00_20250111164018.png +0 -0
  21. sample_prompts.txt +1 -0
  22. showerwet-000001.safetensors +3 -0
  23. showerwet-000002.safetensors +3 -0
  24. showerwet-000003.safetensors +3 -0
  25. showerwet-000004.safetensors +3 -0
  26. showerwet-000005.safetensors +3 -0
  27. showerwet-000006.safetensors +3 -0
  28. showerwet-000007.safetensors +3 -0
  29. showerwet-000008.safetensors +3 -0
  30. showerwet-000009.safetensors +3 -0
  31. showerwet-000010.safetensors +3 -0
  32. showerwet-000011.safetensors +3 -0
  33. showerwet-000012.safetensors +3 -0
  34. showerwet-000013.safetensors +3 -0
  35. showerwet-000014.safetensors +3 -0
  36. showerwet-000015.safetensors +3 -0
  37. showerwet-000016.safetensors +3 -0
  38. showerwet-000017.safetensors +3 -0
  39. showerwet-000018.safetensors +3 -0
  40. showerwet-000019.safetensors +3 -0
  41. showerwet-000020.safetensors +3 -0
  42. showerwet-000021.safetensors +3 -0
  43. showerwet-000022.safetensors +3 -0
  44. showerwet-000023.safetensors +3 -0
  45. showerwet-000024.safetensors +3 -0
  46. showerwet-000025.safetensors +3 -0
  47. train.sh +34 -0
dataset.toml ADDED
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+ [general]
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+ shuffle_caption = false
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+ caption_extension = '.txt'
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+ keep_tokens = 1
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+
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+ [[datasets]]
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+ resolution = 512
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+ batch_size = 1
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+ keep_tokens = 1
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+
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+ [[datasets.subsets]]
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+ image_dir = '/app/fluxgym/datasets/showerwet'
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+ class_tokens = 'w3t'
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+ num_repeats = 2
sample/showerwet_000200_00_20250111160452.png ADDED
sample/showerwet_000400_00_20250111160651.png ADDED
sample/showerwet_000600_00_20250111160849.png ADDED
sample/showerwet_000800_00_20250111161048.png ADDED
sample/showerwet_001000_00_20250111161246.png ADDED
sample/showerwet_001200_00_20250111161444.png ADDED
sample/showerwet_001400_00_20250111161642.png ADDED
sample/showerwet_001600_00_20250111161840.png ADDED
sample/showerwet_001800_00_20250111162038.png ADDED
sample/showerwet_002000_00_20250111162237.png ADDED
sample/showerwet_002200_00_20250111162434.png ADDED
sample/showerwet_002400_00_20250111162633.png ADDED
sample/showerwet_002600_00_20250111162831.png ADDED
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sample/showerwet_003800_00_20250111164018.png ADDED
sample_prompts.txt ADDED
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+ w3t In this image we can see a nude woman standing under the shower. We can also see the taps and a wall. On the right side of the image there is a glass window.
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train.sh ADDED
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+ accelerate launch \
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+ --mixed_precision bf16 \
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+ --num_cpu_threads_per_process 1 \
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+ sd-scripts/flux_train_network.py \
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+ --pretrained_model_name_or_path "/app/fluxgym/models/unet/bdsqlsz/flux1-dev2pro-single/flux1-dev2pro.safetensors" \
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+ --clip_l "/app/fluxgym/models/clip/clip_l.safetensors" \
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+ --t5xxl "/app/fluxgym/models/clip/t5xxl_fp16.safetensors" \
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+ --ae "/app/fluxgym/models/vae/ae.sft" \
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+ --cache_latents_to_disk \
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+ --save_model_as safetensors \
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+ --sdpa --persistent_data_loader_workers \
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+ --max_data_loader_n_workers 2 \
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+ --seed 42 \
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+ --gradient_checkpointing \
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+ --mixed_precision bf16 \
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+ --save_precision bf16 \
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+ --network_module networks.lora_flux \
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+ --network_dim 4 \
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+ --optimizer_type adamw8bit \--sample_prompts="/app/fluxgym/outputs/showerwet/sample_prompts.txt" --sample_every_n_steps="200" \
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+ --learning_rate 8e-4 \
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+ --cache_text_encoder_outputs \
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+ --cache_text_encoder_outputs_to_disk \
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+ --fp8_base \
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+ --highvram \
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+ --max_train_epochs 30 \
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+ --save_every_n_epochs 1 \
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+ --dataset_config "/app/fluxgym/outputs/showerwet/dataset.toml" \
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+ --output_dir "/app/fluxgym/outputs/showerwet" \
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+ --output_name showerwet \
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+ --timestep_sampling shift \
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+ --discrete_flow_shift 3.1582 \
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+ --model_prediction_type raw \
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+ --guidance_scale 1 \
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+ --loss_type l2 \