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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 = 'C:\pinokio\api\fluxgym.git\datasets\body'
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+ class_tokens = 'body'
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+ num_repeats = 6
sample_prompts.txt ADDED
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+ body
train.bat 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 "C:\pinokio\api\fluxgym.git\models\unet\flux1-dev.sft" ^
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+ --clip_l "C:\pinokio\api\fluxgym.git\models\clip\clip_l.safetensors" ^
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+ --t5xxl "C:\pinokio\api\fluxgym.git\models\clip\t5xxl_fp16.safetensors" ^
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+ --ae "C:\pinokio\api\fluxgym.git\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 ^
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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 16 ^
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+ --save_every_n_epochs 4 ^
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+ --dataset_config "C:\pinokio\api\fluxgym.git\outputs\body\dataset.toml" ^
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+ --output_dir "C:\pinokio\api\fluxgym.git\outputs\body" ^
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+ --output_name body ^
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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 ^