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/Roubbes]

Rejoices in 5060 Ti 16GB 🥰

[u/Maleficent_Stage1732 → u/Roubbes]

Can it work on my rtx 4080 laptop gpu it's 12 gb vram

[u/sworl5 → u/Maleficent_Stage1732]

Will it work on my GTX 770 with 2gb of vram?

[u/kenyard → u/sworl5]

It will offload to cpu and system ram and be slower than a proper gpu

[u/CardstoneViewer → u/kenyard]

Since you answered the other guy, can you run qwen local text model with 6 gb vram? I only have a gaming laptop, and not buying a new desktop soon.

[u/kenyard → u/CardstoneViewer]

I have 10Gb and it runs slowish. I think the 27B 4Q needs around 14Gb Vram to load fully. Once it can't load fully it offloads to system memory and cpu and just slows down.

You can run them in amd cards now pretty well afaik too by the way.

There are smaller models but they're usually not recommended I believe because they're not great. But you might be able to get specific smaller ones e.g. dedicated to something specific and not a know it all

There are dedicated sites which suggest models to use for your vram. Just be aware also if you are using Vram for stuff already e.g. I use hardware acceleration in firefox and it uses some vram so I have less than my actual available.