--- 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} } ```