Generate video from prompt using Vertex AI Veo 3 and upload to Google Drive

Who’s it for

This template is perfect for content creators, AI enthusiasts, marketers, and developers who want to automate the generation of cinematic videos using Google Vertex AI’s Veo 3 model. It’s also ideal for anyone experimenting with generative AI for video using n8n.

What it does

This workflow:

• Accepts a text prompt and a GCP access token via form.
• Sends the prompt to the Veo 3 (preview model) using Vertex AI’s predictLongRunning endpoint.
• Waits for the video rendering to complete.
• Fetches the final result and converts the base64-encoded video to a file.
• Uploads the resulting .mp4 to your Google Drive.

Output

How to set up

1. Enable Vertex AI API in your GCP project: https://console.cloud.google.com/marketplace/product/google/aiplatform.googleapis.com

2. Authenticate with GCP using Cloud Shell or local terminal:

gcloud auth login
gcloud config set project [YOUR_PROJECT_ID]
gcloud auth application-default set-quota-project [YOUR_PROJECT_ID]
gcloud auth print-access-token

• Copy the token and use it in the form when running the workflow.
• ⚠️ This token lasts ~1 hour. Regenerate as needed.

1. Connect your Google Drive OAuth2 credentials to allow file upload.

2. Import this workflow into n8n and execute it via form trigger.

Requirements

• n8n (v1.94.1+)
• A Google Cloud project with:
  • Vertex AI API enabled
  • Billing enabled
• A way to get Access Token gcloud auth print-access-token
• A Google Drive OAuth2 credential connected to n8n

How to customize the workflow

• You can modify the

  • durationSeconds
  • aspectRatio
  • generateAudio

• in the HTTP node to match your use case.

• Replace the Google Drive upload node with alternatives like Dropbox, S3, or YouTube upload.

• Extend the workflow to add subtitles, audio dubbing, or LINE/Slack alerts.

Step-by-step for each major node:

Prompt Input → Vertex Predict → Wait → Fetch Result → Convert to File → Upload

Best Practices Followed

• No hardcoded API tokens
• Secure: GCP token is input via form, not stored in workflow
• All nodes are renamed with clear purpose
• All editable config grouped in Set node

External References

• GCP Veo API Docs: https://cloud.google.com/vertex-ai/docs/generative-ai/video/overview

Disclaimer

• This workflow uses official Google Cloud APIs and requires a valid GCP project.
• Access token should be generated securely using gcloud CLI.
• Do not embed tokens in the workflow itself.

Notes on GCP Access Token

To use the Vertex AI API in n8n securely:

1. Run the following on your local machine or GCP Cloud Shell:

gcloud auth login
gcloud config set project your-project-id
gcloud auth print-access-token

1. Paste the token in the workflow form field YOUR_ACCESS_TOKEN when submitting.
2. Do not hardcode the token into HTTP nodes or Set nodes — input it each time or use a secure credential vault.