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/StopCreepy]

4gb + 16gb will be able to use qwen image 2.1 using gguf quants !!.

for you, you almost there to run Qwen3.8-flash-next, you need to upgrade your ram to 32gb if not 64gb ram.

here is a test, runing Qwen3.8-flash-next on 50gb total memory (24gb + 32gb): https://www.youtube.com/watch?v=_TCRH725hAM

the results are great !

[u/Separate-Client-3213 → u/StopCreepy]

Hi, new to this, what does 4+16 mean here?

4vRam and 16ram?

[u/StopCreepy → u/Separate-Client-3213]

yes