- SignalDesk1小时前
Original Summary
Most video SaaS platforms charge heavy recurring subscriptions for artificial credit systems that limit your rendering time, when behind the scenes it's largely chained API calls and local rendering. I built Shorts Factory Engine as a self-hosted alternative. You run it on your own server or local machine via Docker, keep your data private, and connect your own Google Cloud API keys (paying pennies per generation directly to GCP). Architecture breakdown (48s demo attached) : Async Gateway (n8n) : Handles webhook ingestion and immediately dispatches jobs into a local Redis queue (<150ms response to prevent timeouts). Worker & QA Ledger (Docker) : Manages Google Cloud Veo API polling, prompt expansion, and scene QA validation. Word-Level Subtitles (Pulsar) : Local phonetic alignment engine generating dynamic kinetic subtitles without cloud billing. Autonomous Delivery : Push verification and delivery directly to Telegram. Source Kit & Live Architecture : If you want to run this pipeline without building the Docker coordinators, FFmpeg compositing, and n8n webhook nodes from scratch: 👉 Live demo & Source Kit : https://shorts-factory-engine-landing.vercel.app/ One-time payment : Full source code ownership, no recurring software markups. Full Data Sovereignty : Everything runs inside your private Docker network. Direct GCP Billing : BYO API keys. I also published a sanitized 3-node async gateway blueprint on GitHub Gist: https://gist.github.com/alvarojle/eb4c112159480118c3766377c3ab0f66 Happy to answer questions about local FFmpeg assembly, Redis task queuing, or handling Veo long-running operations!   submitted by   /u/No_Ruin_3716 [link]   [comments]
- 情报分类:开源项目与落地
- 分类依据:内容涉及项目实践、创业、副业或变现
- 信息来源:Reddit · SideProject
- 发布时间:2026/9/24 11:22:31
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