Automated Product Marketing Pipeline with N8N, Runway ML, and OpenRouter
This article describes a workflow that automates the creation of professional marketing videos for products. It uses N8N, Runway ML, and OpenRouter to generate a video from a product photo, title, and description.
Why it matters
This workflow automates the creation of professional-quality marketing videos for products, which can be a time-consuming and expensive process. It leverages AI and cloud services to deliver a finished video in under 15 minutes at a low cost.
Key Points
- 1Fully automated product marketing pipeline that generates a video from a product photo, title, and description
- 2Uses N8N workflow, Runway ML for video generation, and OpenRouter for AI-powered photography prompts
- 3Uploads original image to Google Drive, generates a professional photography prompt, creates a public image URL, and sends it to Runway ML to generate a marketing video
- 4Emails the customer the finished image URL and video link automatically
- 5Costs around $0.25 per video plus minimal OpenRouter usage
Details
The workflow starts with an N8N form trigger that collects a product photo, title, and description from the user. It then uploads the original image to Google Drive for storage. Next, it sends the product details to an AI agent (OpenRouter) which generates a professional photography prompt. The image is then downloaded from Google Drive, uploaded to ImageBB to create a public URL, and sent to Runway ML's gen-4-turbo model to generate a marketing video. The workflow polls the render status until the video is complete, and then emails the customer the finished image URL and video link automatically. The total cost per video is around $0.25 for the Runway ML charge, plus minimal OpenRouter usage.
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