How I Built an Automated AI Music Video Factory Using n8n

1. Introduction If you spend any time on YouTube, you have probably seen the explosion of AI-generated music channels: Lo-fi beats with ambient visuals Relaxation tracks with cinematic stills Motivational playlists with auto-generated thumbnails Niche genre channels publishing daily The reason this model is interesting is not just the AI generation itself. The real leverage comes from automation . One track is a project. A thousand tracks is a system. For indie builders, this creates a real opportunity: Build a repeatable pipeline instead of one-off content Publish consistently without a production team Test multiple channel niches quickly Monetize long-tail traffic over time In this tutorial, I will walk through a practical architecture for building an automated AI music video factory with: n8n as orchestrator Suno or LLM-based generation for lyrics/music prompting Royalty-free image APIs for visuals FFmpeg for final rendering YouTube Data API for publishing Programmable temporary ema