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23 lines
1.4 KiB
Bash
23 lines
1.4 KiB
Bash
modelscope download --dataset DiffSynth-Studio/diffsynth_example_dataset --include "qwen_image/Qwen-Image-In-Context-Control-Union/*" --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-In-Context-Control-Union \
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--dataset_metadata_path data/diffsynth_example_dataset/qwen_image/Qwen-Image-In-Context-Control-Union/metadata.csv \
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--data_file_keys "image,context_image" \
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--max_pixels 1048576 \
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--dataset_repeat 50 \
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--model_id_with_origin_paths "Qwen/Qwen-Image:transformer/diffusion_pytorch_model*.safetensors,Qwen/Qwen-Image:text_encoder/model*.safetensors,Qwen/Qwen-Image: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-In-Context-Control-Union_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 64 \
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--lora_checkpoint "models/DiffSynth-Studio/Qwen-Image-In-Context-Control-Union/model.safetensors" \
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--extra_inputs "context_image" \
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--use_gradient_checkpointing \
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--find_unused_parameters
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# if you want to train from scratch, you can remove the --lora_checkpoint argument
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