🔥Branded Product Image Automation Using Fal.AI, Cloudinary & Google Sheets

Thought I would share a workflow I’ve built for branded product image generation that uses Fal.AI, Cloudinary, and Google Sheets for a fast, scalable solution.

This setup leverages Fal.AI’s Flux LoRA training to create high-quality, consistent images featuring your models (people), products, and branding elements (logos/overlays). It’s particularly useful for building a content pipeline for ecommerce, social media, or promotional material.

After experimenting with other tools like Replicate, I found Fal.AI to be significantly faster, with a cleaner UI and a more intuitive experience — especially if you’re testing via their API Playground.

🔧 Workflow Overview

The system integrates the following tools:

  • Google Sheets – Used as the control panel for:
  • Google Drive – For uploading and storing training image files
  • Catbox.moe â€“ Used to publicly host zipped training image sets
  • Fal.AI â€“ For both LoRA model training and Flux image generation
  • Cloudinary – For overlaying branded elements (logos, badges, etc.) on top of the generated image

💡 Use Case

This workflow is ideal for generating consistent, on-brand product shots featuring your model(s) with minimal manual input. Great for ecommerce stores, marketing teams, or agencies handling multiple client brands.

📎 The Download Includes:

  • The JSON workflow file
  • A notes document with links to API docs
  • Google Sheets Template

Playing with Heygen for the video too 🙂