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---
license: apache-2.0
base_model:
- Qwen/Qwen-Image-Edit-2509
tags:
- Lora
- StyleTransfer
- QwenImageEdit
---
# QwenStyle: Content-Preserving Style Transfer with Qwen-Image-Edit
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.
Please note that our style transfer model is based on [Qwen-Image-Edit-2509](https://huggingface.co/Qwen/Qwen-Image-Edit-2509), and has to be used with [Qwen-Image-Lightning Lora](https://huggingface.co/lightx2v/Qwen-Image-Lightning), which we have converted to Diffsynth format for compatibility. Otherwise, the model may suffer from either low-speed or low-quality.
Our github page is [QwenStyle](https://github.com/witcherofresearch/Qwen-Image-Style-Transfer).
## Quick Start
Install DiffSynth
```
git clone https://github.com/modelscope/DiffSynth-Studio.git
cd DiffSynth-Studio
pip install -e .
```
Please download our style transfer lora and lightning lora from [this link](https://huggingface.co/witcherderivia/Qwen-Image-Style-Transfer/)
Then run infer_style_transfer.py for inference. We have tested the model on one H100, which takes 5 seconds to generate the result.
## Training
Our training framework is based on [DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio). Special thanks to the authors of DiffSynth.
## Data
We will open-source all our training data if the stars exceed 200.
## Citation
We release the tech report of [QwenStyle V1](https://openreview.net/forum?id=Cgb7JpOA5Q&referrer=%5Bthe%20profile%20of%20Shiwen%20Zhang%5D(%2Fprofile%3Fid%3D~Shiwen_Zhang1)). We are keep refining QwenStyle and will update new versions in the future. Please light a star for our project and cite our work if you find it helpful.
```bibtex
@article{zhang2026qwenstyle,
title={QwenStyle: Content-Preserving Style Transfer with Qwen-Image-Edit},
author={Zhang, Shiwen and Huang, Haibin and Zhang, Chi and Li, Xuelong},
journal={TeleAI},
year={2026}
}
```
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