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Browse files- dataset.toml +14 -0
- sample/showerwet_000200_00_20250111160452.png +0 -0
- sample/showerwet_000400_00_20250111160651.png +0 -0
- sample/showerwet_000600_00_20250111160849.png +0 -0
- sample/showerwet_000800_00_20250111161048.png +0 -0
- sample/showerwet_001000_00_20250111161246.png +0 -0
- sample/showerwet_001200_00_20250111161444.png +0 -0
- sample/showerwet_001400_00_20250111161642.png +0 -0
- sample/showerwet_001600_00_20250111161840.png +0 -0
- sample/showerwet_001800_00_20250111162038.png +0 -0
- sample/showerwet_002000_00_20250111162237.png +0 -0
- sample/showerwet_002200_00_20250111162434.png +0 -0
- sample/showerwet_002400_00_20250111162633.png +0 -0
- sample/showerwet_002600_00_20250111162831.png +0 -0
- sample/showerwet_002800_00_20250111163028.png +0 -0
- sample/showerwet_003000_00_20250111163225.png +0 -0
- sample/showerwet_003200_00_20250111163424.png +0 -0
- sample/showerwet_003400_00_20250111163622.png +0 -0
- sample/showerwet_003600_00_20250111163819.png +0 -0
- sample/showerwet_003800_00_20250111164018.png +0 -0
- sample_prompts.txt +1 -0
- showerwet-000001.safetensors +3 -0
- showerwet-000002.safetensors +3 -0
- showerwet-000003.safetensors +3 -0
- showerwet-000004.safetensors +3 -0
- showerwet-000005.safetensors +3 -0
- showerwet-000006.safetensors +3 -0
- showerwet-000007.safetensors +3 -0
- showerwet-000008.safetensors +3 -0
- showerwet-000009.safetensors +3 -0
- showerwet-000010.safetensors +3 -0
- showerwet-000011.safetensors +3 -0
- showerwet-000012.safetensors +3 -0
- showerwet-000013.safetensors +3 -0
- showerwet-000014.safetensors +3 -0
- showerwet-000015.safetensors +3 -0
- showerwet-000016.safetensors +3 -0
- showerwet-000017.safetensors +3 -0
- showerwet-000018.safetensors +3 -0
- showerwet-000019.safetensors +3 -0
- showerwet-000020.safetensors +3 -0
- showerwet-000021.safetensors +3 -0
- showerwet-000022.safetensors +3 -0
- showerwet-000023.safetensors +3 -0
- showerwet-000024.safetensors +3 -0
- showerwet-000025.safetensors +3 -0
- train.sh +34 -0
dataset.toml
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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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[[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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[[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
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sample/showerwet_000200_00_20250111160452.png
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sample/showerwet_000400_00_20250111160651.png
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sample/showerwet_000600_00_20250111160849.png
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sample/showerwet_000800_00_20250111161048.png
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sample/showerwet_001000_00_20250111161246.png
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sample/showerwet_001200_00_20250111161444.png
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sample/showerwet_001400_00_20250111161642.png
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sample/showerwet_001600_00_20250111161840.png
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sample/showerwet_001800_00_20250111162038.png
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sample/showerwet_002000_00_20250111162237.png
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sample/showerwet_002200_00_20250111162434.png
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sample/showerwet_002400_00_20250111162633.png
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sample/showerwet_002600_00_20250111162831.png
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sample/showerwet_002800_00_20250111163028.png
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sample/showerwet_003000_00_20250111163225.png
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sample/showerwet_003200_00_20250111163424.png
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sample/showerwet_003400_00_20250111163622.png
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sample/showerwet_003600_00_20250111163819.png
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sample/showerwet_003800_00_20250111164018.png
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sample_prompts.txt
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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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showerwet-000001.safetensors
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showerwet-000007.safetensors
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showerwet-000008.safetensors
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showerwet-000009.safetensors
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showerwet-000010.safetensors
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train.sh
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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 \
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