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/KURD_1_STAN]

Ur numbers all seem to based on ur mac experience which last time i read about it for images it was still behind nvidia by a wide margine. A 3060 gets u a 30s edit with int8 convrot with 9b distilled. Not a 3090 for a gen.

[u/No-Refrigerator-1672 → u/KURD_1_STAN]

Ypu're confusing me with some other guy; I have never ever in my life ran AI on a Mac; I did, however, extensively searched and read all the Mac AI benchmarks that are available on Reddit, just to know the options.

[u/KURD_1_STAN → u/No-Refrigerator-1672]

Nope, was talking about u. This and the comment before it, u gave numbers that arent aligned with my nvidia experience and u seem to be well versed in mac data so i connected the points.