Block 1 - Create a record
- Type / Role
- n8n-nodes-base.airtable - airtable
- Config choices
- Version 2.1
This workflow is provided as-is. Please review and test before using in production.
This n8n template from Intuz provides a complete and automated solution for transforming a static product image and a creative idea into a dynamic, AI generated video ad. ...
n8n-nodes-base.airtable, n8n-nodes-base.code, n8n-nodes-base.httprequest, @n8n/n8n-nodes-langchain.googlegemini, n8n-nodes-base.wait, n8n-nodes-base.converttofile, n8n-nodes-base.formtrigger, n8n-nodes-base.form
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Intuz .
Original n8n.io sourceUsing Google's state-of-the-art Veo 3 model, this workflow manages the entire creative process from concept to a final, downloadable video file.
1. Submit a Creative Brief: The workflow starts when a user submits a creative idea via a simple web form (e.g., "A Pepsi can exploding into a vibrant disco party").
2. Upload a Product Image: The user is then prompted to upload a corresponding image (e.g., a high-quality photo of the Pepsi can).
3. Log the Project in Airtable: The idea and the uploaded image are saved to an Airtable base, which acts as the central tracking system for all video generation projects.
4. AI Creative Analysis: Google Gemini analyzes both the user's text prompt and the uploaded image. It acts as an "AI Creative Director," generating a detailed video brief that reinterprets the static image according to the user's creative vision.
5. Generate Video with Veo 3: The detailed creative brief is sent to Google's Veo 3 AI video generation model. The workflow initiates a long-running task to create the video.
6. Retrieve the Final Video: After a brief waiting period, the workflow polls the Veo 3 API to retrieve the finished video, converts it into a binary file, and makes it available for download directly from the n8n execution log.
n8n Instance & Required Nodes:
Google Cloud Account:
Airtable Account:
1. Airtable Configuration (Crucial):
2. Google AI Configuration (Gemini & Veo):
In the Analyze image (Google Gemini) node, select your Gemini API credentials.
In both the Generate Video Veo 3 and Get the the Video (HTTP Request) nodes:
You must replace [Project ID] and [Location] in the URLs with your own Google Cloud Project ID and region (e.g., us-central1).
Select your Google OAuth2 credentials for authentication.
3. Customize Video Parameters (Optional):
4. Execute the Workflow:
Click here- Get Started
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Automate AI video ad generation with Google Veo 3, Gemini, and Airtable |
|---|---|
| Complexity | advanced |
| Nodes | 16 |
| Categories | Content Creation, Multimodal AI |
| Author | Intuz |
| Published | 01 Oct 2025 |
Use the JSON export at /data/workflows/9152/9152.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
This n8n template from Intuz provides a complete and automated solution for transforming a static product image and a creative idea into a dynamic, AI generated video ad. ...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Content Creation, Multimodal AI use case.