Auto AI Virtual Try-On Images for WooCommerce (n8n + Gemini)

Generate AI virtual try-on images for your WooCommerce products—automatically

This n8n workflow creates realistic AI virtual try-on images for your fashion eCommerce catalog. Instead of running costly photoshoots, it generates images of a model wearing each selected clothing item and then updates both Google Sheets and WooCommerce with the final results.

What this workflow does

Designed for automated image generation at scale, the workflow follows a sequential, loop-based process:

• Pull product data from Google Sheets (your control center for inputs and tracking).
• Generate a virtual try-on image using the Fal.ai Nano Banana model—creating an AI-generated image of a model wearing the selected clothing item.
• Update the Google Sheet with the generated output so you can monitor progress and results.
• Update the WooCommerce product with the final generated image, keeping your storefront current without manual effort.

Use cases

• Fast scaling for large catalogs: Create virtual try-on imagery for hundreds of products without scheduling repeated studio shoots.
• Seasonal refresh campaigns: Quickly generate new imagery to support promotions, landing pages, or product page updates.
• Budget-friendly content production: Reduce spend on models, photographers, and studio time while maintaining realistic previews.
• Consistent marketing assets: Reuse the generated images across ads and social media to improve campaign throughput.

Technical details

• Automation platform: n8n
• Model: Fal.ai Nano Banana (via HTTP Request)
• Data/control: Google Sheets (acts as centralized management)
• Workflow logic: if, set, wait, and workflow notes (sticky note)
• System access: Google Drive + HTTP Request to trigger image generation and apply results

Result: an end-to-end, n8n-powered AI virtual try-on image automation for WooCommerce that saves time, reduces costs, and improves the shopper experience with realistic product previews.