Generate 3D Models from Text Prompts with Image3D API in n8n
Generate 3D Models from Text Prompts with Image3D API in n8n
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Generate 3D Models from Text Prompts with Image3D API in n8n
Regular price
£16.99
Regular price
£16.99
Sale price
Unit price
/
per
Generate text-to-3D jobs from your prompt using the Image3D API in n8n
This n8n workflow lets you send a text prompt to the Image3D API to create a new text-to-3D generation job—then returns a task ID and status URL so you can poll for the finished 3D model.
What this workflow does
- Runs manually: Click Execute workflow in n8n to start.
- Queues a text-to-3D generation job: The workflow sends a POST request to the Image3D generations endpoint with your text prompt and a quality setting.
- Returns job details for follow-up: After the Image3D API responds, the workflow outputs generation task details—such as the task ID and a status URL.
- Designed for polling: Since this workflow’s job is to create the generation task, you’ll plan a subsequent step (manual or automated) to poll the returned status URL until the 3D model is ready.
Use cases
- Prototype 3D assets from ideas: Quickly test different prompt variations and quality settings to generate candidate 3D models.
- Pipeline integration: Use the returned task ID/status URL as a trigger point for a separate polling workflow that downloads the final model.
- SaaS/internal tools: Connect n8n to your internal UI or operators’ process for producing 3D outputs on demand.
Technical details
- n8n trigger: Manual trigger (execute on demand)
- Nodes used: Sticky note, HTTP Request, Manual Trigger
-
API authentication: Create an HTTP Header Auth credential using header name
X-API-Keywith your Image3D API key. - Request behavior: Sends a POST request to Image3D generations with prompt and quality, then returns the Image3D response including the task ID and status URL.
Best for: n8n users, automation engineers, and SaaS operators who want a clean, reliable way to initiate Image3D text-to-3D generation and then handle polling in a dedicated step.
