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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Qwen-Image is a powerful image generation foundation model capable of complex text rendering and precise image editing.
| Date | Stars |
|---|---|
| 2026-07-31 | 8185 |
| 2026-08-02 | 8185 |
| 2026-08-03 | 8197 |
| 2026-08-06 | 8197 |
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<p align="center">
<img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/qwen_image_logo.png" width="400"/>
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<p align="center">  💜 <a href="https://chat.qwen.ai/">Qwen Chat</a>   |
  🤗 <a href="https://huggingface.co/Qwen/Qwen-Image">HuggingFace(T2I)</a>   |
  🤗 <a href="https://huggingface.co/Qwen/Qwen-Image-Edit-2511">HuggingFace(Edit)</a>   |   🤖 <a href="https://modelscope.cn/models/Qwen/Qwen-Image">ModelScope-T2I</a>   |   🤖 <a href="https://modelscope.cn/models/Qwen/Qwen-Image-Edit-2511">ModelScope-Edit</a>  |    📑 <a href="https://arxiv.org/abs/2508.02324">Tech Report</a>    |    📑 <a href="https://qwenlm.github.io/blog/qwen-image/">Blog(T2I)</a>    |    📑 <a href="https://qwenlm.github.io/blog/qwen-image-edit-2511/">Blog(Edit)</a>   
<br>
🖥️ <a href="https://huggingface.co/spaces/Qwen/Qwen-Image">T2I Demo</a>   | 🖥️ <a href="https://huggingface.co/spaces/Qwen/Qwen-Image-Edit-2511">Edit Demo</a>   |   💬 <a href="https://github.com/QwenLM/Qwen-Image/blob/main/assets/wechat.png">WeChat (微信)</a>   |   🫨 <a href="https://discord.gg/CV4E9rpNSD">Discord</a>  
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<img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/merge3.jpg" width="1024"/>
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## Introduction
We are thrilled to release **Qwen-Image**, a 20B MMDiT image foundation model that achieves significant advances in **complex text rendering** and **precise image editing**. Experiments show strong general capabilities in both image generation and editing, with exceptional performance in text rendering, especially for Chinese.
## News
- 2026.02.10: We are launching Qwen-Image-2.0, a next-generation foundational image generation model. The key highlights of Qwen-Image-2.0 include:
* **Professional Typography Rendering** – Supports 1k-token instructions for direct generation of professional infographics, including PPTs, posters, comics, and more.
* **Stronger Semantic Adherence** – Native 2K resolution support for finely detailed realistic scenes, including people, nature, and architecture.
* **Improved Text Rendering** – Integrated understanding and generation capabilities, unifying image generation and editing in a single mode
* **Lighter Model Architecture** – Smaller model size with faster inference speed.
Check our [Blog](https://qwen.ai/blog?id=qwen-image-2.0) for more details! Also give it a try at [Qwen Chat](https://chat.qwen.ai/?inputFeature=t2i).
- 2025.12.31: We released Qwen-Image-2512 weights! Check at [Huggingface](https://huggingface.co/Qwen/Qwen-Image-2512) and [ModelScope](https://modelscope.cn/models/Qwen/Qwen-Image-2512)!
- 2025.12.31: We released Qwen-Image-2512! Check our [Blog](https://qwen.ai/blog?id=qwen-image-2512) for more details!
🚀 Our December upgrade to Qwen-Image, just in time for the New Year.
✨ What’s new:
• More realistic humans — dramatically reduced “AI look,” richer facial & age details
• Finer natural textures — sharper landscapes, water, fur, and materials
• Stronger text rendering — better layout, higher accuracy in text–image composition
🏆 Tested in 10,000+ blind rounds on AI Arena, Qwen-Image-2512 ranks as the strongest open-source image model, while staying competitive with closed-source systems.
- 2025.12.31: [Qwen-Image-Lightning](https://github.com/ModelTC/Qwen-Image-Lightning), developed by [Lightx2v](https://github.com/ModelTC/LightX2V), provides [Day 0 acceleration support for Qwen-Image-2512](https://huggingface.co/lightx2v/Qwen-Image-2512-Lightning).
- 2025.12.31:vLLM-Omni supports high peExcerpt of 37,577 characters
Read on GitHub
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Zecheng Tang · Soochow University · China
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DefTruth · @xlite-dev, @vipshop · China
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Zhengyi Wang · Tsinghua University · China
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:ca47d582ea940614, desc:image generation, desc:image editing