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- ---
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- license: apache-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: apache-2.0
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+ base_model:
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+ - Qwen/Qwen-Image-Edit-2509
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+ tags:
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+ - Lora
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+ - StyleTransfer
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+ - QwenImageEdit
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+ ---
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+
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+ # QwenStyle: Content-Preserving Style Transfer with Qwen-Image-Edit
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+
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+ For the first time, we introduce Content-Preserving Style Transfer functionality to Qwen-Image-Edit, which supports transferring various style cues from style reference to content reference while preserving the characteristics of content reference in high efficiency, i.e. 4 sampling steps.
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+ Please note that our style transfer model is based on Qwen-Image-Edit-2509, and has to be used with Qwen-Image-Lightning Lora, which we have converted to Diffsynth format for compatibility. Otherwise, the model may suffer from either low-speed or low-quality.
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+ ## Quick Start
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+
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+
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+ Install DiffSynth
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+ ```
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+ git clone https://github.com/modelscope/DiffSynth-Studio.git
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+ cd DiffSynth-Studio
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+ pip install -e .
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+ ```
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+
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+ Then run infer_style_transfer.py for inference. We have tested the model on one H100, which takes 5 seconds to generate the result.
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+ ## Training
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+ Our training framework is based on DiffSynth-Studio. Special thanks to the authors of DiffSynth.
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+
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+ ## Data
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+ We will soon open-source all our training data.
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+ ## Citation
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+ We will release the tech report of QwenStyle. Please cite our work if you find it helpful.
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+ ```bibtex
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+ @article{zhang2026qwenstyle,
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+ title={QwenStyle: Content-Preserving Style Transfer with Qwen-Image-Edit},
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+ author={Zhang, Shiwen and Huang, Haibin and Zhang, Chi and Li, Xuelong},
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+ journal={TeleAI},
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+ year={2026}
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+ }
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+ ```