Ming-Image-0.1-Design tops open-weights image models for UI/UX design
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inclusionAI's Ming-Image-0.1-Design is the #1 open weights model for UI/UX Design on the Artificial Analysis Text to Image Leaderboard, ranking #17 amongst all models in the category Ming-Image-0.1-Design is a 6B parameter Text to Image model from inclusionAI, Ant Group's AI initiative. It is built for UI, infographics, posters and other text-rich visual designs, supports RGBA output with transparent backgrounds, and is released with open weights under the MIT licence. We evaluated it at 2K resolution with 12 inference steps, the settings inclusionAI recommends. Ming-Image-0.1-Design stands out in our evaluation of UI/UX design capabilities for Text to Image models. It ranks #17 of 81 models in UI/UX Design, compared with #45 of 160 on the overall Text to Image Leaderboard. Among open weights models, it is the new leading model for UI/UX Design use cases. Congratulations to @AntLingAGI on the release! See below for our analysis and example outputs of Ming-Image-0.1-Design in the Artificial Analysis Image Arena 🧵
Ming-Image-0.1-Design excels at UI/UX Design compared with its overall performance Its UI/UX Design Elo is 88 points above its overall Elo, the largest gap across our 10 Text to Image use cases. Productivity & Knowledge Work is next, at 48 points above. ➤ UI/UX Design covers UI mockups across app, web, in-car and spatial surfaces. ➤ Productivity & Knowledge Work covers diagrams, infographics, charts and slides.

Ming-Image-0.1-Design's standout capability is Layout, where it is the highest ranked open weights model at #19 of 67. Our Text to Image taxonomy measures 9 capabilities, the individual skills that go into making an image. Ming-Image-0.1-Design is also the highest ranked open weights model in Text Rendering, at #23 of 65. ➤ Layout covers flows, arrows, blocks, visual hierarchy and multi-panel compositions. ➤ Text Rendering covers long text, small text, symbols and artistic lettering.




This translates to Ming-Image-0.1-Design's performance in UI/UX Design, from mobile app screens to desktop dashboards. UI/UX Design is the use case where it sits closest to the frontier, followed by Marketing & Advertising and Productivity & Knowledge Work. ➤ Marketing & Advertising covers ad creatives, campaign visuals, posters and brand imagery. ➤ Productivity & Knowledge Work covers diagrams, infographics, charts and slides.




Context
Artificial Analysis found that Ming-Image-0.1-Design, a 6-billion-parameter, MIT-licensed image model from Ant Group's inclusionAI, ranks #17 of 81 models in UI/UX Design, the leading result among open-weights models it tracks. On its overall Text to Image leaderboard, the same model ranks #45 of 160, so its strength is concentrated. Its UI/UX Design Elo is 88 points above its overall Elo, the largest gap across the ten use cases, and the firm points to Layout (flows, arrows, blocks, multi-panel compositions) and Text Rendering (long and small text) as its standout capabilities. It supports transparent backgrounds and was evaluated at 2K resolution with the settings inclusionAI recommends. UI/UX Design is the use case where the model sits closest to the frontier, and Artificial Analysis congratulated Ant Ling on the release.
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