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21 lines
1.2 KiB
Bash
21 lines
1.2 KiB
Bash
modelscope download --dataset DiffSynth-Studio/diffsynth_example_dataset --include "qwen_image/Qwen-Image-Layered-Control/*" --local_dir ./data/diffsynth_example_dataset
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accelerate launch examples/qwen_image/model_training/train.py \
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--dataset_base_path data/diffsynth_example_dataset/qwen_image/Qwen-Image-Layered-Control \
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--dataset_metadata_path data/diffsynth_example_dataset/qwen_image/Qwen-Image-Layered-Control/metadata.json \
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--data_file_keys "image,layer_input_image" \
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--max_pixels 1048576 \
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--dataset_repeat 50 \
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--model_id_with_origin_paths "DiffSynth-Studio/Qwen-Image-Layered-Control:transformer/diffusion_pytorch_model*.safetensors,Qwen/Qwen-Image:text_encoder/model*.safetensors,Qwen/Qwen-Image-Layered: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/Qwen-Image-Layered-Control_lora" \
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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_out.0,to_add_out,img_mlp.net.2,img_mod.1,txt_mlp.net.2,txt_mod.1" \
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--lora_rank 32 \
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--extra_inputs "layer_num,layer_input_image" \
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--use_gradient_checkpointing \
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--dataset_num_workers 8 \
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--find_unused_parameters
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