Generate AI videos from text prompts with Google Veo
This n8n workflow uses the Google Gemini node to generate AI videos via the Veo model. It replaces complex manual API setups with a simple, plug-and-play experience.
Important Prerequisite
To use the Veo model, your Google Cloud project must have billing enabled. The feature is not available on the free tier and may incur charges.
Who Is This For?
- Marketers & Content Creators Quickly create B-roll, ad clips, or social content from text prompts.
- Filmmakers & Artists Prototype scenes and visualize ideas without filming.
- Anyone exploring AI video generation Use Google’s Veo model without any manual API work.
What the Workflow Does
- Define Prompt
Write a text prompt in the
1. Set Video Promptnode. - Trigger Manually run the workflow with one click.
- Generate The Gemini node sends the prompt to the Veo model and generates a video.
- Output Returns a binary video file ready to save or share.
Setup Instructions
1. Enable Google Cloud Billing
Make sure your Google Cloud project has billing activated.
2. Add Credentials
Add your Google AI (Gemini) credentials in n8n.
3. Set the Prompt
Open the 1. Set Video Prompt node and write your video idea.
4. Activate Workflow
Save and activate the workflow.
5. Run It
Click “Execute Workflow” to generate a video.
Requirements
- n8n (Cloud or Self-Hosted)
- Google Cloud Project with billing enabled
- Google AI (Gemini) credentials linked to that project
Customization Ideas
-
Save Output Add a Google Drive, Dropbox, or S3 node to store the video.
-
Post Automatically Connect social media nodes (YouTube Shorts, TikTok, etc.) to publish content.
-
Generate in Bulk Replace the Set node with Google Sheets or Airtable to generate multiple videos from a list of prompts.
Generate AI Videos from Text Prompts with Google Veo (via Google Gemini)
This n8n workflow demonstrates how to generate AI videos from text prompts using the Google Gemini node, which can interface with Google Veo. It provides a foundational structure for automating video creation based on textual input.
What it does
This workflow performs the following steps:
- Triggers Manually: The workflow is initiated by a manual trigger, allowing you to run it on demand.
- Sets Initial Data: An "Edit Fields (Set)" node is used to define the initial text prompt that will be used for video generation. This is where you would input your desired video description.
- Generates Video with Google Gemini: The core of the workflow uses the "Google Gemini" node to process the text prompt and generate a video. This node is configured to leverage Google's AI capabilities for video creation (likely through Veo, given the directory name context).
- Provides a Sticky Note: A sticky note is included for documentation or additional instructions within the workflow itself.
Prerequisites/Requirements
- n8n Instance: A running n8n instance.
- Google Gemini Credentials: You will need to configure the "Google Gemini" node with appropriate credentials to access Google's AI services. This typically involves API keys or service account authentication.
- Google Veo Access: While not directly configured in the JSON, the workflow implies access to Google Veo or similar video generation capabilities through the Google Gemini API. Ensure your Google account and Gemini configuration have the necessary permissions.
Setup/Usage
- Import the Workflow: Import the provided JSON into your n8n instance.
- Configure Credentials:
- Click on the "Google Gemini" node.
- Add or select your Google Gemini credentials. If you don't have them configured, you'll need to create new credentials, typically an API key.
- Define Your Video Prompt:
- Click on the "Edit Fields (Set)" node.
- Modify the
valuefield to contain the text prompt for your desired video. For example:"A futuristic city at sunset with flying cars and holographic advertisements."
- Execute the Workflow:
- Click the "Execute Workflow" button on the "Manual Trigger" node to run the workflow.
- Observe the output of the "Google Gemini" node, which should contain information about the generated video.
This workflow serves as a starting point. You can expand it to:
- Integrate with other triggers (e.g., a webhook for receiving prompts, a scheduled trigger).
- Add nodes to save the generated video to cloud storage (e.g., Google Drive, S3).
- Incorporate notification nodes (e.g., Slack, email) to alert you when a video is ready.
- Implement error handling and retry mechanisms.
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