Lumina
БесплатноНе проверенLumina: An AI-powered Active Capture system for high-fidelity 3D Head Avatars. Uses real-time pose guidance and 3D Gaussian Splatting to transform standard webc
Описание
Lumina: An AI-powered Active Capture system for high-fidelity 3D Head Avatars. Uses real-time pose guidance and 3D Gaussian Splatting to transform standard webcam feeds into animatable digital twins.
README
Lumina
Lumina is a desktop-first active-capture system for fast 3D head reconstruction.
V1 is focused on a practical local workflow: capture a single neutral head from a laptop webcam, fit a coarse full-head model with rough hair coverage, and export a GLB on macOS.
V1 Goal
- Single-person only
- Neutral head only
- Laptop webcam only
- Full head with rough hair
- GLB export only
- Local reconstruction on macOS
- Target turnaround under 5 minutes
Current Architecture
apps/director-desktopElectron shell for local capture, session control, and desktop runtime integrationapps/director-webReact + Vite + Three.js renderer embedded inside Electronservices/recon-apiOptional local orchestration service for manifests, pipeline control, and future decouplingservices/recon-workerLocal reconstruction worker for FLAME fitting and GLB exportpackages/protocolShared TypeScript protocol and event contracts
Product Direction
Lumina v1 is intentionally not chasing maximum fidelity. The current target is a robust and fast local capture loop that:
- guides the user through a fixed neutral pose sequence
- auto-accepts stable frames
- stores a local JSON session manifest
- prepares a local reconstruction handoff
The long-term direction can still include higher-end Gaussian Splatting pipelines, but that is not the default production path for the first macOS release.
Local Development
Requirements:
- Node.js 20+
pnpm- Python 3.11+
uv- macOS with webcam access
Install and run:
corepack enable
corepack prepare [email protected] --activate
pnpm install
uv sync
pnpm dev
Important pnpm Note
On some machines, pnpm blocks install/build scripts by default.
If Electron fails with Electron failed to install correctly, approve build scripts and rebuild:
pnpm approve-builds
pnpm rebuild
pnpm --filter director-desktop exec electron --version
pnpm dev
Approve at least:
electronesbuild
Repository Notes
- Logo asset:
apps/director-web/public/assets/lumina-logo.jpeg - Local capture sessions are written under
~/Documents/LuminaSessions - The desktop app currently includes:
- webcam preview
- pose sequence state
- automatic frame acceptance scaffold
- manual retry
- local manifest writes through Electron IPC
Status
This repository currently contains the desktop-first scaffold, capture-loop foundation, local IPC bridge, and reconstruction boundaries for Lumina v1.
Установить Lumina в Claude Desktop, Claude Code, Cursor
unyly install luminaСтавит в Claude Desktop, Claude Code, Cursor и VS Code — сам разбирается с npx, uvx и сборкой из исходников.
Впервые? Поставь CLI: curl -fsSL https://unyly.org/install | sh
Или настроить вручную
Выполни в терминале:
claude mcp add lumina -- uvx luminaПошаговые гайды: как установить Lumina
FAQ
Lumina MCP бесплатный?
Да, Lumina MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Lumina?
Нет, Lumina работает без API-ключей и переменных окружения.
Lumina — hosted или self-hosted?
Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.
Как установить Lumina в Claude Desktop, Claude Code или Cursor?
Открой Lumina на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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