Qwen-Image: Crafting with Native Text Rendering
- Source
- qwenlm.github.io
- Author
- Qwen Team
- Date

Context
Qwen-Image targets a concrete requirement in generated graphics: putting requested words into the picture with the intended layout. Qwen describes support for English and Chinese lettering, multiple lines and longer passages within images. Its release account reports evaluations specifically focused on text rendering, alongside broader image-generation tests.
That capability is relevant to posters, signs and information graphics, where the wording is part of the visual result. The model is asked to produce both imagery and lettering from the prompt. Qwen presents examples ranging from shop signs to slide-like compositions, but these establish the intended uses through the company's demonstrations rather than an independently measured success rate for finished design work.
“We are thrilled to release Qwen-Image, a 20B MMDiT image foundation model that achieves significant advances in complex text rendering and precise image editing.”
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