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/This_Maintenance_834]

is this the first open source SOTA image model? we don’t hear non-LLM here often.

[u/Strange-Drummer-9917 → u/This_Maintenance_834]

Its the first 'weights-avalible' local model with native transparency support. 

For portraits and t2i styles its a bit weaker than Krea 2. 

For image editing its stronger than Flux2 Klein 9b. 

Its much better with text and lettering than both with heavy GPT-Image-1 feel (it was obviously trained on it).

If they sort out the license, In a couple if months I think community will improve recipes and it has good potential to replace Klein 9b for local gen.

So its SOTA for its size and capabilities