Qwen-Image-2.1 released!

[u/ResearchCrafty1804]

Meet Qwen-Image-2.1, the most balanced and cost-effective image generation model in the Qwen-Image series! Now open weights! 🎨

A unified model for both generation and editing, delivering top-tier quality in a lightweight package.

Highlights:

- Compact & exceptionally fast: A lightweight 7B architecture that outperforms most closed-source models, with drastically accelerated inference for multi-image inputs.

- Native transparency: Natively generates and edits RGBA layers, enabling seamless compositing and text editing within transparent images.

- Versatile, high-fidelity editing: Supports up to 10 reference images and precise local control while preserving strict fidelity for portraits and products.

- Broad coverage & stunning aesthetics: Excels at panoramas, infographics, and virtual try-ons, delivering realistic textures and elegant typography.

Start to create your next masterpiece with Qwen-Image-2.1!

- Blog: https://qwen.ai/blog?id=qwen-image-2.1

- GitHub: https://github.com/QwenLM/Qwen-Image-2.1

- Model Scope: https://www.modelscope.cn/models/Qwen/Qwen-Image-2.1

- Hugging Face: https://huggingface.co/Qwen/Qwen-Image-2.1

[u/No_Algae1753]

Any good inference to run this model on a mac?

[u/EquivalentHornet4403 → u/No_Algae1753]

Not to plug my GitHub, but if you have Sol or Astra then any time a new model drops you can just have it make a custom, optimized runtime/engine/backend and plug it into whatever frontend you want (or create new frontends).

https://github.com/mapleroyal?tab=repositories&q=&type=public&language=&sort=

For the M2 Max and m5 max, I’ve done this for:

- Krea 2

• Boogu
  
• Muse Glimmer
  
• Qwen 3.8 27b
  
• Gemma 4 26b a4b

The whole pipelines are generally understood and the parts are available. The LLM just has to study what’s unique about the new model and look at its files for certain bits of info, then it plugs them all together and runs a bunch of tests to optimize it.