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33 lines
1.3 KiB
Bash
33 lines
1.3 KiB
Bash
accelerate launch train.py \
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--dataset_base_path data/example_image_dataset \
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--dataset_metadata_path data/example_image_dataset/metadata.csv \
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--max_pixels 1048576 \
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--dataset_repeat 1 \
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--model_id_with_origin_paths "black-forest-labs/FLUX.2-dev:text_encoder/*.safetensors,black-forest-labs/FLUX.2-dev:vae/diffusion_pytorch_model.safetensors" \
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--learning_rate 1e-4 \
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--num_epochs 5 \
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--remove_prefix_in_ckpt "pipe.dit." \
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--output_path "./models/train/FLUX.2-dev-LoRA-splited-cache" \
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--lora_base_model "dit" \
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--lora_target_modules "to_q,to_k,to_v,add_q_proj,add_k_proj,add_v_proj,to_qkv_mlp_proj" \
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--lora_rank 32 \
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--use_gradient_checkpointing \
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--dataset_num_workers 8 \
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--task "sft:data_process"
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accelerate launch train.py \
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--dataset_base_path "./models/train/FLUX.2-dev-LoRA-splited-cache" \
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--max_pixels 1048576 \
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--dataset_repeat 50 \
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--model_id_with_origin_paths "black-forest-labs/FLUX.2-dev:transformer/*.safetensors" \
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--learning_rate 1e-4 \
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--num_epochs 5 \
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--remove_prefix_in_ckpt "pipe.dit." \
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--output_path "./models/train/FLUX.2-dev-LoRA-splited" \
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--lora_base_model "dit" \
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--lora_target_modules "to_q,to_k,to_v,add_q_proj,add_k_proj,add_v_proj,to_qkv_mlp_proj" \
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--lora_rank 32 \
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--use_gradient_checkpointing \
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--dataset_num_workers 8 \
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--task "sft:train"
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