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. An n8n automation workflow template by Yaron Been.
Yaron Been
web
free
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