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Qwen-Image-Edit: All-round Image Editing Model Demo

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1. Tutorial Introduction

GitHub Stars

Qwen-Image-Edit is an all-round image editing model released by the Alibaba Tongyi Qianwen team in August 2025. The model has both semantic and appearance editing capabilities, and can perform low-level visual appearance editing (such as adding, deleting, and modifying elements) and high-level visual semantic editing (such as IP creation, object rotation, style transfer, etc.). The model supports precise editing of Chinese and English bilingual text, and supports modifying text in images while retaining the original font, font size, and style. The related paper results are "Qwen-Image Technical Report".

This tutorial uses dual-card RTX A6000 resources.

2. Project Examples

3. Operation steps

1. After starting the container, click the API address to enter the Web interface

2. Usage steps

If "Bad Gateway" is displayed, it means the model is initializing. Since the model is large, please wait about 2-3 minutes and refresh the page.

Parameter Description

  • Advanced Settings:
    • Seed: Random seed.
    • Randomize Seed: Whether to generate a random seed.
    • True guidance scale: Guidance scale used to control the quality of generated images.
    • Number of inference steps: The number of inference steps used to control the level of detail of the generated image.
    • Number of images per prompt: Controls the number of images generated for each prompt.
    • Rewrite prompt: Whether to automatically polish the prompt words.

4. Discussion

🖌️ If you see a high-quality project, please leave a message in the background to recommend it! In addition, we have also established a tutorial exchange group. Welcome friends to scan the QR code and remark [SD Tutorial] to join the group to discuss various technical issues and share application effects↓

Citation Information

Thanks to Github user xxxjjjyyy1  Deployment of this tutorial. The reference information of this project is as follows:

@misc{wu2025qwenimagetechnicalreport,
      title={Qwen-Image Technical Report}, 
      author={Chenfei Wu and Jiahao Li and Jingren Zhou and Junyang Lin and Kaiyuan Gao and Kun Yan and Sheng-ming Yin and Shuai Bai and Xiao Xu and Yilei Chen and Yuxiang Chen and Zecheng Tang and Zekai Zhang and Zhengyi Wang and An Yang and Bowen Yu and Chen Cheng and Dayiheng Liu and Deqing Li and Hang Zhang and Hao Meng and Hu Wei and Jingyuan Ni and Kai Chen and Kuan Cao and Liang Peng and Lin Qu and Minggang Wu and Peng Wang and Shuting Yu and Tingkun Wen and Wensen Feng and Xiaoxiao Xu and Yi Wang and Yichang Zhang and Yongqiang Zhu and Yujia Wu and Yuxuan Cai and Zenan Liu},
      year={2025},
      eprint={2508.02324},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2508.02324}, 
}
Qwen-Image-Edit: All-round Image Editing Model Demo | Tutorials | HyperAI