For a deeper discussion on taking this workflow to the next level, let's talk here. In this video, I walk through how I built an n8n workflow that generates faceless shorts on autopilot—from turning ideas into AI-generated images, converting those images into engaging videos, and adding the perfect sound effects to bring everything together. Whether you're looking to automate content creation or just curious about AI-powered video workflows, this video guide has you covered! Get the Google Sheet template here

Hey everyone, I’m looking for advice on best practices for moving files outside of n8n when working with large or numerous file operations. Here’s my situation: - I’m using n8n to automate creative workflows (generating and processing ~20+ image files at a time). - After generation, I need to download these images and upload them into Google Drive and then give them share access. - However, I’ve run into problems with memory overloads, binary data size limits, and slow or fragile file handling inside n8n itself. To workaround it, I’ve started executing Node.js scripts separately via Execute Command or HTTP Request nodes that move/download files outside of n8n — directly on the server. What I’m wondering is: - What’s the best practice for handling file downloads/uploads at scale outside of n8n but still connected to the automation? - Is it common to spin off lightweight external scripts (Node.js, bash, etc.)? - Are there better patterns or microservice designs to offload file operations cleanly? - How do people handle Google Drive uploads reliably without bogging down n8n memory? Ideally, I want the flow to stay fully automated, resilient, and low-memory. Appreciate any wisdom, architecture patterns, or lessons learned here! Thanks so much. 🙏 — Shawn

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