Generate AI videos using Havis AI Grok Imagine

Havis AI - Grok Imagine n8n Workflow

Summary

This n8n workflow submits a video generation job to Havis AI Grok Imagine, waits for processing, polls task status, and returns result data when the job completes.

Who is this for?

• Creators who want a reusable no-code generation form.
• Agencies building client-facing AI automation.
• Developers who want an importable API test workflow.
• n8n users connecting Havis AI output to storage, Slack, Sheets, Airtable, webhooks, or a CMS.

What this workflow does

1. Opens an n8n Form Trigger for Grok Imagine inputs.
2. Builds a clean JSON payload and removes empty optional fields.
3. Sends a POST request to https://havis.ai/api/grok-imagine.
4. Waits 8 seconds, then polls https://havis.ai/api/task/{task_id}.
5. Loops while the task is processing.
6. Returns task ID, status, result URLs, credits used, and submitted payload.
7. Returns a clean error object if the task fails.

Setup

1. Import the JSON workflow into n8n.
2. Open the Form Trigger URL.
3. Enter your Havis API key in api_key. Use only the key value; the workflow adds Bearer automatically.
4. Fill in the model inputs and submit.

For production, store the API key in n8n credentials or environment variables instead of typing it into a public form.

Main payload fields

• prompt (Required) - string
• model (Optional) - string
• duration (Optional) - number
• images - collected from form URL fields

Example request body

{
 "prompt": "A playful cinematic scene with surreal motion",
 "model": "normal",
 "images": [
 "https://example.com/reference.jpg"
 ]
}

API documentation

• Model docs: https://havis.ai/document/api-grok-imagine
• Submit endpoint: POST https://havis.ai/api/grok-imagine
• Task status endpoint: GET https://havis.ai/api/task/{task_id}

Output fields

• task_id - The generation task ID returned by Havis AI.
• status - Usually completed, processing, or failed.
• model - The public model slug.
• result_urls - JSON string containing final R2/CDN result URLs.
• credits_used - Credits deducted for the submitted task when returned by the API.
• submitted_payload - The exact JSON payload sent to Havis AI.

Customization ideas

• Add a Webhook Response node after Return Result to expose this as your own mini API.
• Add Google Sheets or Airtable after Return Result to keep a generation log.
• Add Slack, Telegram, or email notification for completed jobs.
• Replace the Form Trigger with another app trigger for batch automation.
• Increase the wait interval for long video or audio jobs.

Troubleshooting

• 401 or 403: check your API key.
• 402: the account does not have enough credits or model pricing is missing.
• 422: required fields are missing or a field value is invalid.
• No result URLs yet: the task is still processing; let the polling loop continue.
• This template is fixed to https://havis.ai; use an API key created for Havis AI.