# inclusionAI open-sources two 6B Ming-Image-0.1-Design models

inclusionAI has open-sourced the Ming-Image-0.1-Design family under the MIT License: two complementary 6B models, Design and Layer, for visual-design workflows. ModelScope says Design ranks first among open-weight models on the Artificial Analysis UI/UX Design leaderboard, and that Layer leads all 12 evaluated Crello settings while running 4.3× faster than the evaluated 20B open-weight baseline.

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Source: ModelScope · Published 9/22/2026, 19:36:24

inclusionAI has open-sourced the Ming-Image-0.1-Design family under the MIT License as two complementary 6B models for visual-design workflows. [Ming-Image-0.1-Design](https://modelscope.ai/models/inclusionAI/Ming-Image-0.1-Design) generates complete UIs, dashboards, infographics, and posters at up to 2048×2048 and can produce native transparent RGBA output. [Ming-Image-0.1-Design-Layer](https://modelscope.ai/models/inclusionAI/Ming-Image-0.1-Design-Layer) decomposes flattened graphics into independently editable RGBA layers while preserving the original aspect ratio.

The pipeline combines multimodal prompt conditioning, a diffusion transformer, and a 4-channel VAE. Layer adds multi-frame generation for separate layer outputs.

ModelScope says Design ranks first among open-weight models on the Artificial Analysis UI/UX Design leaderboard and has strong text rendering. It also says Layer leads all 12 evaluated Crello settings and runs 4.3× faster than the evaluated 20B open-weight baseline.

Tags: Open source, Ming-Image, inclusionAI, Visual design, ModelScope

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