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Alibaba claims new Qwen Image 2.1 AI model beats Google Nano Banana 2.0 with minuscule 7B parameter model

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Alibaba claims new Qwen Image 2.1 AI model beats Google Nano Banana 2.0 with minuscule 7B parameter model

Alibaba Cloud has released a new lightweight image generation AI model, called Qwen Image 2.1. Sporting just 7 billion parameters, it's an extremely lean open-weight model, able to run on even older consumer graphics cards like the RTX 3090. Despite its lightweight design, its developers claim it is more capable than a range of closed-weight models, including Google's Nano Banana 2.0.

That is on its own internal benchmark, so we'd like to see some additional testing before making any concrete claims, but early reports suggest it's a very capable image model, with native transparency support and the ability to create unified images from a range of reference images.

One area that has raised eyebrows, though, is the change to the Qwen Image 2.1 licensing agreement. Unlike the previous version, this one explicitly forbids commercial resale of the model, requiring anyone who wants to use it for that to obtain a separate license directly from the developer.

Qwen Image 2.1 introduces a number of new features that improve its utility and help it better compete with established alternatives. It supports native transparency, so you can have it generate images with transparent backgrounds, which can make it particularly useful for artists wanting to use AI as part of something else, or for print-on-demand products like stickers.

It also improves image editing, with the ability to use up to 10 reference images. Cited examples include taking an existing image of a person, feeding the model images of clothing items, and then it can composite an image of the person wearing those clothes.


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