I used the @typesafeai JEV model to make a real-time 3D

@op7418 歸藏(guizang.ai) · Sep 20, 2026 · case #918793 · listed via Jev Hub

Still from the clip posted with this case; watch it in the original post on X.

Built a real-time 3D scene generator that runs hundreds of concurrent Jev judgments to pick and place prefab models from text input.

The original post, translated

I used the @typesafeai JEV model to make a real-time 3D scene generator. This speed is absolutely insane! From dozens to hundreds of prefabricated 3D models, based on the input text, it performs hundreds of concurrent judgments. At the same time, it processes the shading, lighting, position, and state of these assets, completing the construction of an indoor scene that meets the requirements in one second.

Show the original post in its source language ▾

我用 @typesafeai JEV 模型做了一个实时 3D 场景生成器。这个速度实在太夸张了！从预制的几十上百种 3D 模型里，根据输入的文案，进行并发几百次的判断。同时对这些素材的着色、光照、位置以及状态进行处理，一秒完成符合要求的室内场景搭建。

The post above is a machine translation from zh; the untranslated text is in the fold-out.

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Numbers are a snapshot taken from X when the case was added to the library (schema v1, collected 2026-09-19); they will not match today.

Where this case fits

Filed under video, animation & media. In the pattern Jev is built for, the model answers a bounded question per step — and ordinary code acts on the answer, because the answer is already a value rather than a paragraph. Other posts in the same family are on the video, animation & media page.

🎬 Video, animation & media