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---
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license: apache-2.0
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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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# QwenStyle: Content-Preserving Style Transfer with Qwen-Image-Edit
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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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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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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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## 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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```
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