inclusionAI 发布 Ming-Image-0.1-Design，登顶开源 UI/UX 设计文生图模型

该模型在 Artificial Analysis 文生图榜单的 UI/UX 设计类别中排第 17/81 名，是开源权重模型里的第一名。它支持 RGBA 透明背景输出，权重以 MIT 许可证开源，评测采用 2K 分辨率、12 步推理设置。

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 🧵

This report is categorized under AITOP's "Models" desk, focusing on China's AI industry and domestic foundation model ecosystem. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows and US-China foundation model benchmarks and commercialization comparison. Key entities and technical topics under continuous tracking include Ming-Image-0.1-Design, inclusionAI, 文生图, 开源模型.

Source attribution: curated from Artificial Analysis (@ArtificialAnlys). Cross-source corroboration: 2 independent sources have covered this development (including IT之家), confirming industry-wide signal strength.