Ming-Image-0.1-Design
#16 in Text-to-ImageInclusionai · v0.1 · design · 2× · last seen Sep 25, 2026
Ming-Image-0.1-Design is a text-to-image model with 6 billion parameters developed by inclusionAI (Ant Group), specifically designed for text-rich visual designs such as UI screens, infographics, posters, and dashboards. It generates complete image compositions including legible text and supports native RGBA output with transparent backgrounds. The model was released on September 22, 2026 as an Open Source model under MIT license on Hugging Face, GitHub, and ModelScope. According to the manufacturer, it ranks first among open models on the Artificial Analysis UI/UX Design Benchmark. There is no hosted API offering; usage requires your own Inference infrastructure (recommended: a CUDA GPU with 80 GiB VRAM).
Features
| Fine-Tuning | Not officially documented; as an open-weight model it is fundamentally fine-tunable (unlike closed models) |
| Generation Time | 12 sampling steps, CFG 1.0, BF16 precision; approx. 340s (warm) to 608s (cold) on tested hardware at 2048px |
| License | MIT (commercial use permitted without restrictions) |
| Max Resolution | 2048×2048 (recommended), 1024×1024 for faster generation |
| Platform | Hugging Face, GitHub, ModelScope; inference via vLLM-Omni, self-hosted infrastructure required |
| Price | Free (open-weight model, MIT license; self-hosting required, no official paid API) |
| Release Date | September 22, 2026 (weights initially published September 17, 2026) |