What is Qwen-Image-2.1?

A text-to-image model is a machine learning system that takes a written description and produces an image matching it. Such models are generally trained on very large collections of images and text. Qwen-Image-2.1 is an image model from Qwen that both creates images from text and edits existing ones. Its model card says the visual generation part has 7B parameters (a measure of model size), that it can produce images with a transparent background (RGBA, meaning a colour image with a transparency channel), and that it accepts up to 10 reference images for edits. It sits in Qwen's Qwen-Image line, which the project describes as an image generation foundation model.

Written from primary sources and reference pages, and checked against them by an independent AI fact-checker. Drafted with AI assistance.