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Browse files- dataset.toml +14 -0
- nature-illustration-000004.safetensors +3 -0
- nature-illustration-000008.safetensors +3 -0
- sample/nature-illustration_000500_00_20250122162305.png +0 -0
- sample/nature-illustration_001000_00_20250122163807.png +0 -0
- sample/nature-illustration_001500_00_20250122165307.png +0 -0
- sample/nature-illustration_002000_00_20250122170808.png +0 -0
- sample/nature-illustration_002500_00_20250122172309.png +0 -0
- sample/nature-illustration_003000_00_20250122173808.png +0 -0
- sample/nature-illustration_003500_00_20250122175308.png +0 -0
- sample/nature-illustration_004000_00_20250122180808.png +0 -0
- sample/nature-illustration_004500_00_20250122182310.png +0 -0
- sample/nature-illustration_005000_00_20250122183812.png +0 -0
- sample/nature-illustration_005500_00_20250122185314.png +0 -0
- sample/nature-illustration_006000_00_20250122190813.png +0 -0
- sample/nature-illustration_006500_00_20250122192313.png +0 -0
- sample/nature-illustration_007000_00_20250122193813.png +0 -0
- sample/nature-illustration_007500_00_20250122195312.png +0 -0
- sample/nature-illustration_008000_00_20250122200812.png +0 -0
- sample_prompts.txt +1 -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/nature-illustration'
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class_tokens = 'ohwxnatureill'
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num_repeats = 10
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nature-illustration-000004.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:21a32118c85f785dd8607df83a6fda5232760e766ee419314ac8e39c4e8acc75
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size 39820024
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nature-illustration-000008.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a376ad1af90479da65215afb3a7cdd34a74500f5a5960b0e299b538da2a044c3
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size 39820024
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sample/nature-illustration_000500_00_20250122162305.png
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sample/nature-illustration_001000_00_20250122163807.png
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sample/nature-illustration_001500_00_20250122165307.png
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sample/nature-illustration_002000_00_20250122170808.png
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sample/nature-illustration_002500_00_20250122172309.png
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sample/nature-illustration_003000_00_20250122173808.png
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sample/nature-illustration_003500_00_20250122175308.png
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sample/nature-illustration_004000_00_20250122180808.png
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sample/nature-illustration_004500_00_20250122182310.png
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sample/nature-illustration_005000_00_20250122183812.png
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sample/nature-illustration_005500_00_20250122185314.png
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sample/nature-illustration_006000_00_20250122190813.png
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sample/nature-illustration_006500_00_20250122192313.png
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sample/nature-illustration_007000_00_20250122193813.png
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sample/nature-illustration_007500_00_20250122195312.png
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sample/nature-illustration_008000_00_20250122200812.png
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sample_prompts.txt
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ohwxnatureill illustration of nature landscape
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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/flux1-dev.sft" \
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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/nature-illustration/sample_prompts.txt" --sample_every_n_steps="500" \
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--learning_rate 1e-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 12 \
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--save_every_n_epochs 4 \
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--dataset_config "/app/fluxgym/outputs/nature-illustration/dataset.toml" \
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--output_dir "/app/fluxgym/outputs/nature-illustration" \
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--output_name nature-illustration \
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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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