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20 lines
1.2 KiB
Bash
20 lines
1.2 KiB
Bash
modelscope download --dataset DiffSynth-Studio/diffsynth_example_dataset --include "z_image/Z-Image-Turbo-Fun-Controlnet-Union-2.1-8steps/*" --local_dir ./data/diffsynth_example_dataset
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accelerate launch examples/z_image/model_training/train.py \
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--dataset_base_path data/diffsynth_example_dataset/z_image/Z-Image-Turbo-Fun-Controlnet-Union-2.1-8steps \
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--dataset_metadata_path data/diffsynth_example_dataset/z_image/Z-Image-Turbo-Fun-Controlnet-Union-2.1-8steps/metadata.csv \
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--data_file_keys "image,controlnet_image" \
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--max_pixels 1048576 \
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--dataset_repeat 100 \
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--model_id_with_origin_paths "PAI/Z-Image-Turbo-Fun-Controlnet-Union-2.1:Z-Image-Turbo-Fun-Controlnet-Union-2.1-8steps.safetensors,Tongyi-MAI/Z-Image-Turbo:transformer/*.safetensors,Tongyi-MAI/Z-Image-Turbo:text_encoder/*.safetensors,Tongyi-MAI/Z-Image-Turbo: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/Z-Image-Turbo-Fun-Controlnet-Union-2.1-8steps_lora" \
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--lora_base_model "dit" \
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--lora_target_modules "to_q,to_k,to_v,to_out.0,w1,w2,w3" \
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--lora_rank 32 \
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--extra_inputs "controlnet_image" \
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--use_gradient_checkpointing \
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--dataset_num_workers 8
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