RunwayML Gen-3 Image + HeyGen: Video Production Stack
Pair RunwayML Gen-3 Image (AI Image) with HeyGen (AI Video) to scale video production. This stack creates a video pipeline that helps teams produce 10x more content at 30% cost. Track videos produced per month to measure impact.
Tools in This Stack
Setup Guide
- 1Set up RunwayML Gen-3 Image
Sign up for RunwayML Gen-3 Image and configure for ai image.
- 2Set up HeyGen
Set up HeyGen with team credentials for ai video.
- 3Connect tools
Use native integration or Zapier/Make to connect both tools.
- 4Run pilot
Run a pilot workflow with real data. Measure baseline metrics.
Integration Steps
- 1Connect RunwayML Gen-3 Image API
Configure RunwayML Gen-3 Image export settings to share data with HeyGen. Set up authentication and test.
- 2Configure HeyGen intake
Set up HeyGen to process data from RunwayML Gen-3 Image. Map fields and validate format.
- 3Build automation workflow
Create automated triggers between RunwayML Gen-3 Image outputs and HeyGen actions. Test with 10 samples.
- 4Set up monitoring
Configure Slack or email alerts for integration failures. Add weekly summary reports.
Cost Analysis
| Item | Cost |
|---|---|
| Total | $25/user/mo + $49/mo |
| HeyGen | $49/mo |
| RunwayML Gen-3 Image | $25/user/mo |
Ehsan's Recommendation
What separates top-performing teams: they automate the connection between ai image and ai video tools. With RunwayML Gen-3 Image feeding into HeyGen, you remove the biggest friction point in most video production workflows. Build the reporting dashboard first. If you cannot measure it, you cannot justify it.
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Ehsan Jahandarpour
AI Growth Strategist & Fractional CMO
Forbes Top 20 Growth Hacker · TEDx Speaker · 716 Academic Citations · Ex-Microsoft · CMO at FirstWave (ASX:FCT) · Forbes Communications Council