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, generatetexture, removebackground 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 (createdat, completedat) 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. ---