
infinite-canvas
面向AI创作的开源无限画布工作台,集成 AI 生图、参考图编辑、画布编排、对话助手、提示词库和素材管理等功能。
The Lens
By Erik Loyd, SaaS CEO and former COO/CFO of an AWS Premier Partner.
Updated Oct 2026
Infinite Canvas is a freeform AI creation board: drop text, image, video and audio generation nodes onto an endless canvas, edit with reference images, and keep a prompt library and asset shelf alongside. You bring an OpenAI-compatible endpoint for the actual generation. It switched from AGPL to MIT in August 2026, so commercial and closed-source use is now fine.
It's now a frontend-only app: deploy it to Vercel or run it in Docker, and projects, assets and your API key live in your browser. There's a public demo at canvas.best. Newer additions include a Canvas Agent that lets Codex or Claude Code operate the canvas over MCP, a plugin system and WebDAV sync.
Free, with paid custom development available from the maintainer. Solo creators who already pay for an image or video API get a flexible free front end. Teams should wait: the maintainers say data compatibility between versions isn't guaranteed and recommend forking if you need stability.
The catch: the project openly courts terms-violating backends. Its description advertises chatgpt2api and grok2api channels, and the README points to the owner's own chatgpt2api, a reverse-engineered ChatGPT web proxy that warns users about account bans. Point it at an official API and it's a fine tool; point it at those and you're the one taking the risk.
Free vs Self-Hosted vs Paid
fully freeFree: Everything. MIT licensed since August 2026 (previously AGPL-3.0), commercial and closed-source use allowed.
Self-hosted: A static frontend for Vercel, Render or Docker; data and API keys stay in the browser. Optional local Canvas Agent bridge for Codex or Claude Code.
Paid: None for the software. The maintainer offers private deployment, custom development and support on request with no published prices. Your real cost is the image, video or audio API you connect.
Free under MIT. You pay for whatever generation API you plug in.
What to do by team size
- Solo
- free; use an official API key
- Small team
- free, but fork it since data formats can change between versions
- Medium team
- Wait for stable data compatibility
- Large team
- Skip; no stability guarantees
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Trust Signals
License: MIT License
MIT since 2026-08-07 (was AGPL-3.0). Commercial and closed-source use allowed.
Commercial use: ✓ Yes
About
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- kunkun (User)
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