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Life & fun · April 19, 2026

PT

Prompt-to-Excalidraw demo with Gemma 4 E2B in the browser (3.1GB)

Gemma 4 E2B generating Excalidraw diagrams from text prompts, running entirely in desktop Chrome via WebGPU. KV cache compressed 2.4× using TurboQuant

Prompt-to-Excalidraw demo with Gemma 4 E2B in the browser (3.1GB) launched on April 19, 2026 with 163 votes, #187 of 21,248 launches that month and more than 95% of that year's launches.

Visit teamchong.github.io ↗Alternativestop 1% of April 2026

In plain words

This is a browser-based demo that converts text prompts into Excalidraw diagrams using Gemma 4 running through E2B. Users can describe what they want drawn, and the system generates visual diagrams in the Excalidraw format. The application runs entirely in the browser without requiring external servers. It is designed for anyone who wants to quickly create hand-drawn-style diagrams from written descriptions. The tool combines natural language processing with diagram generation to streamline the visualization process.

written from the facts on this page · September 2026

From the sources

Describe any diagram, Gemma 4 E2B generates it as Excalidraw — entirely in your browser. Desktop Chrome 134+ only. The LLM outputs compact code (~50 tokens) instead of raw Excalidraw JSON (~5,000 tokens). The TurboQuant algorithm (polar + QJL) compresses the KV cache ~2.4× so longer conversations fit in GPU memory. Needs WebGPU subgroups (Safari/iOS not supported yet) and ~3 GB RAM (mobile browsers cap well below this). This demo reimplements the TurboQuant algorithm in WGSL compute shaders so it runs on the GPU at 30+ tok/s. The sibling turboquant-wasm npm package implements the same algorithm in WASM+SIMD for CPU-side vectorfrom teamchong.github.io

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