Templates / Generate 3D models from images using Hunyuan3D v2 and Google Sheets

Generate 3D models from images using Hunyuan3D v2 and Google Sheets

Ready for 3.0

by zahir khan ✓ · 879 views · created 2026-01-04 · Content Creation, Multimodal AI

Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.

What this workflow does

This workflow has 10 nodes and runs on a schedule (every minute) (plus 1 other trigger). Along the way it connects Google Sheets. It also calls queue.fal.run over HTTP.

How it runs

Trigger: On a schedule (every minute) (plus 1 other trigger).

  1. Get new image (Google Sheets): uses Google Sheets
  2. Set Data (Edit Fields (Set)): sets 1 field: image_url
  3. Submit to Hunyuan3D (HTTP Request): calls queue.fal.run (POST)
  4. Wait: waits 30 seconds
  5. Check Status (HTTP Request): calls an HTTP API
  6. Is Completed? (If): checks a condition and branches into true / false
  7. Get Final Result (HTTP Request): calls an HTTP API
  8. Update Result (Google Sheets): update

Services it uses

Google Sheets

HTTP calls to: queue.fal.run

Before you upgrade to n8n 3.0

Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.

Nodes used (7)

From the author

This workflow automates the conversion of 2D images into high-quality 3D models (.glb format) by integrating Google Sheets with the Hunyuan3D v2 model on Fal.ai. It handles the entire pipeline—from fetching image URLs to polling for completion and saving the…

Excerpt from zahir khan's description on n8n.io.

View the original on n8n.io → Check your own copy

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