Design Your Next Website With AI: A Prompting Guide for Ming-Image
Blog post from Deepinfra
DeepInfra’s guide presents Ming-Image-0.1-Design, an open-weight inclusionAI model specialized in generating UI mockups from text prompts, which reportedly ranks highly on UI/UX benchmarks and can produce 1024×1024 designs in about seven seconds through DeepInfra’s API. It argues that useful results depend primarily on prompts written as detailed design briefs: users should identify the product and page type, describe the layout from top to bottom, specify interface components, name concrete visual styles, and provide exact short-form copy such as headlines, navigation links, calls to action, and KPI values. The guide notes that long text remains less reliable, recommends using a fixed seed to make targeted iterative changes while varying seeds for distinct concepts, and advises designing the above-the-fold experience for the model’s square canvas before extending the page in a conventional design tool. It concludes with a reusable prompt structure and an API example, framing AI-assisted website design as a process of translating a clear visual concept into precise instructions rather than requesting a generic website.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| LLM | 2 | 6,033 | 1,166 | 244 | +15% |
| RAG | 2 | 864 | 207 | 84 | -29% |
| AI Agents | 1 | 5,609 | 1,414 | 272 | -6% |
| AI Model Fine-tuning | 1 | 732 | 178 | 66 | +29% |
| Vector Search | 1 | 1,674 | 383 | 126 | -30% |
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