Generate 3D Models & Textures from Images with Hunyuan3D AI

Generate 3D Models & Textures from Images with Hunyuan3D AI

This workflow connects n8n → Replicate API to generate 3D-like outputs using the ndreca/hunyuan3d-2.1-test model. It handles everything: sending the request, waiting for processing, checking status, and returning results.

⚡ Section 1: Trigger & Setup

⚙️ Nodes

1️⃣ On Clicking “Execute”

What it does:** Starts the workflow manually in n8n. Why it’s useful:** Great for testing or one-off runs before automation.

2️⃣ Set API Key

What it does:* Stores your Replicate API Key*. Why it’s useful:** Keeps authentication secure and reusable across HTTP nodes.

💡 Beginner Benefit

No coding needed — just paste your API key once. Easy to test: press Execute, and you’re live.

🤖 Section 2: Send Job to Replicate

⚙️ Nodes

3️⃣ Create Prediction (HTTP Request)

What it does:* Sends a POST request* to Replicate’s API with:

Model version (70d0d816...ae75f) Input image URL Parameters like steps, seed, generate_texture, remove_background Why it’s useful:** This kicks off the AI generation job on Replicate’s servers.

4️⃣ Extract Prediction ID (Code)

What it does:* Grabs the prediction ID* from the API response and builds a status-check URL. Why it’s useful:** Every job has a unique ID — this lets us track progress later.

💡 Beginner Benefit

You don’t need to worry about JSON parsing — the workflow extracts the ID automatically. Everything is reusable if you run multiple generations.

⏳ Section 3: Poll Until Complete

⚙️ Nodes

5️⃣ Wait (2s)

What it does:** Pauses for 2 seconds before checking the job status. Why it’s useful:** Prevents spamming the API with too many requests.

6️⃣ Check Prediction Status (HTTP Request)

What it does:** GET request to see if the job is finished.

7️⃣ Check If Complete (IF Node)

What it does:**

If status = succeeded → process results. If not → loops back to Wait and checks again.

💡 Beginner Benefit

Handles waiting logic for you — no manual refreshing needed. Keeps looping until the AI job is really done.

📦 Section 4: Process the Result

⚙️ Nodes

8️⃣ Process Result (Code)

What it does:** Extracts:

status output (final generated file/URL) metrics (performance stats) Timestamps (created_at, completed_at) Model info Why it’s useful:** Packages the response neatly for storage, email, or sending elsewhere.

💡 Beginner Benefit

Get clean, structured data ready for saving or sending. Can be extended easily: push output to Google Drive, Notion, or Slack.

📊 Workflow Overview

| Section | What happens | Key Nodes | Benefit | | --------------------- | --------------------------------- | ----------------------------- | --------------------------------- | | ⚡ Trigger & Setup | Start workflow + set API key | Manual Trigger, Set | Easy one-click start | | 🤖 Send Job | Send input & get prediction ID | Create Prediction, Extract ID | Launches AI generation | | ⏳ Poll Until Complete | Waits + checks status until ready | Wait, Check Status, IF | Automated loop, no manual refresh | | 📦 Process Result | Collects output & metrics | Process Result | Clean result for next steps |

🎯 Overall Benefits

✅ Fully automates Replicate model runs ✅ Handles waiting, retries, and completion checks ✅ Clean final output with status + metrics ✅ Beginner-friendly — just add API key + input image ✅ Extensible: connect results to Google Sheets, Gmail, Slack, or databases

✨ In short: This is a no-code AI image-to-3D content generator powered by Replicate and automated by n8n.