How I Built an AI Video Content Pipeline with Gemini Omni and n8n

<I recently built an automated AI video generation workflow using n8n and Gemini Omni, and wanted to share the approach with the community.
The goal was simple:

  • Generate short-form video ideas automatically
  • Create video prompts with AI
  • Send prompts to Gemini Omni
  • Generate videos
  • Store assets automatically
  • Publish content to social platforms

Workflow Overview

  1. RSS Feed / Trend Source
  2. AI Research Agent
  3. Prompt Generator
  4. Gemini Omni Video Generation
  5. Asset Storage
  6. Social Media Publishing

Why Gemini Omni?

The biggest advantage for this workflow was consistency.
Compared to many video generators I tested, Gemini Omni handled:

  • Character consistency
  • Multi-scene storytelling
  • Prompt adherence
  • Video-to-video refinement
    especially well.

Example Use Cases

  • Product marketing videos
  • Social media content
  • AI-generated explainer videos
  • UGC-style ads
  • Educational content

Future Improvements

I’m currently experimenting with:

  • Multi-agent prompt optimization
  • Automatic trend detection
  • SEO keyword clustering
  • Multi-platform publishing
    Has anyone built something similar using n8n?
    I’d love to see how others are automating AI video production pipelines.!-- Hey! The fastest way to find solutions is by using the :magnifying_glass_tilted_right: search function at the upper right.
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Describe the problem/error/question

What is the error message (if any)?

Please share your workflow

(Select the nodes on your canvas and use the keyboard shortcuts CMD+C/CTRL+C and CMD+V/CTRL+V to copy and paste the workflow.)

Share the output returned by the last node

Information on your n8n setup

  • n8n version:
  • Database (default: SQLite):
  • n8n EXECUTIONS_PROCESS setting (default: own, main):
  • Running n8n via (Docker, npm, n8n cloud, desktop app):
  • Operating system:
1 Like

The RSS-to-video pipeline is a solid approach - using Gemini Omni directly in the workflow removes a whole layer of manual prompt-to-video handoff. One thing worth adding once you scale up: a Wait node between the Gemini Omni generation step and the social publishing step, so bursts of trending RSS items don’t hit rate limits or flood the publishing queue all at once.