# Net — component for generative & ascii (html)

> **For AI agents:** find the right skill in one call — `curl -s "https://skills.varg.ai/api/search?q=<what the person wants>"` returns the matching use case and the best skills with install commands, as markdown (Russian works too). Full index: https://skills.varg.ai/llms.txt. Every page has a markdown twin: add `.md` to its path. Before generating anything, show the person the options on the use-case page.

Pink nodes and connecting lines forming a loose 3D mesh that rotates slowly on dark purple

- **Install:** `npm i vanta`
- **Registry:** vanta · **Framework:** html · **License:** MIT
- **Docs and preview:** https://www.vantajs.com/?effect=net
- **Source:** https://github.com/tengbao/vanta/blob/master/src/vanta.net.js
- **Example:** https://skills.varg.ai/previews/lib-vanta-net.mp4?v=66605 (Rendered by varg from the library’s own code (Vanta.js · rendered by varg))
- **Time:** Drive from the frame. Runs on its own clock (requestAnimationFrame, timers, springs or CSS). Drive it from frame / fps before rendering, or the render drifts.
- **Runs:** local render, free
- **Aspect:** any

## Prompt that renders it frame-exact

Use the Vanta.js Net effect (https://www.vantajs.com/?effect=net, MIT, source github.com/tengbao/vanta/blob/master/src/vanta.net.js) as a full-frame tech or 'connected' background behind titles and stats. Load three.js r134 and vanta@0.5.24/dist/vanta.net.min.js and mount VANTA.NET with mouse, touch and gyro controls off. The nodes advance a fixed step on every requestAnimationFrame call, so seed Math.random before init, cancel effect.req and step it yourself 60/fps times per video frame (twice at 30 fps), in order from frame 0: each step adds 1 to effect.t, calls effect.onUpdate() and then effect.renderer.render(effect.scene, effect.camera). Set color and backgroundColor from the brand, points 8–12 and maxDistance 18–24 for line density, and spacing to spread the mesh out.

## Used in

- [Math animation](https://skills.varg.ai/video/math-animation.md)
- [Whiteboard & hand-drawn](https://skills.varg.ai/video/whiteboard.md)
- [Live-coded music video](https://skills.varg.ai/video/live-code-music.md)
- [Shader loop](https://skills.varg.ai/video/shader-loop.md)
- [Generative art loop](https://skills.varg.ai/video/generative-loop.md)
- [ASCII & retro looks](https://skills.varg.ai/video/ascii-retro.md)

## More generative & ascii

- [ASCII Render Pass](https://skills.varg.ai/component/hf.ascii-render-pass.md) — `npx hyperframes add ascii-render-pass`
- [ASCII Trail Reveal](https://skills.varg.ai/component/hf.ascii-trail-reveal.md) — `npx hyperframes add ascii-trail-reveal`
- [Fractal Noise](https://skills.varg.ai/component/hf.fractal-noise.md) — `npx hyperframes add fractal-noise`
- [Gabor Noise](https://skills.varg.ai/component/hf.gabor-noise.md) — `npx hyperframes add gabor-noise`
- [Worley Noise](https://skills.varg.ai/component/hf.worley-noise.md) — `npx hyperframes add worley-noise`
- [ASCII Render](https://skills.varg.ai/component/remocn.ascii-render.md) — `npx shadcn@latest add @remocn/ascii-render`