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

Jaruphat J.Jaruphat J.
21110 views
2/3/2026
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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.

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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.

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Output

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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.

Generate Video from Prompt using Vertex AI Veo 3 and Upload to Google Drive

This n8n workflow automates the process of generating a video from a text prompt using Google Cloud's Vertex AI Veo 3 model and then uploading the generated video file to Google Drive.

What it does

This workflow streamlines the video creation process by:

  1. Receiving a Video Prompt: It starts by accepting a text prompt for video generation via an n8n form submission.
  2. Preparing Request Data: It takes the submitted prompt and formats it into the necessary JSON payload for the Vertex AI API call.
  3. Generating Video with Vertex AI Veo 3: It sends an HTTP request to the Vertex AI Veo 3 API, passing the video prompt to generate a video.
  4. Waiting for Video Generation: It includes a Wait step to allow sufficient time for the video generation process to complete, as AI video generation can be time-consuming.
  5. Converting Video to File: It takes the generated video data (likely a URL or base64 encoded content from the API response) and converts it into a storable file format.
  6. Uploading to Google Drive: Finally, it uploads the generated video file to a specified folder in Google Drive.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running n8n instance.
  • Google Cloud Project with Vertex AI: Access to a Google Cloud project with the Vertex AI API enabled and configured for Veo 3.
  • Google Cloud Service Account: A service account with appropriate permissions to call the Vertex AI API and upload to Google Drive.
  • Google Drive Account: A Google Drive account where the generated videos will be stored.
  • n8n Credentials: Configured n8n credentials for:
    • HTTP Request: Potentially for API key or OAuth for Vertex AI.
    • Google Drive: OAuth 2.0 credentials for Google Drive.

Setup/Usage

  1. Import the Workflow: Download the provided JSON and import it into your n8n instance.
  2. Configure Credentials:
    • Open the HTTP Request node and set up the authentication method for your Vertex AI API. This typically involves an API key or OAuth 2.0 with the correct scopes.
    • Open the Google Drive node and configure your Google Drive OAuth 2.0 credentials. Ensure the credentials have permission to create and upload files in your desired Google Drive folder.
  3. Configure Nodes:
    • On form submission (Form Trigger): This node provides the URL for the form. Users will submit their video prompts here.
    • Edit Fields (Set): This node prepares the data for the HTTP request. Ensure the prompt field correctly maps to the input from the form.
    • HTTP Request:
      • Update the URL to point to your specific Vertex AI Veo 3 endpoint.
      • Adjust the Body Parameters to match the Vertex AI Veo 3 API specification, ensuring the prompt is correctly passed.
      • Set the Method to POST.
    • Wait: Adjust the Time in the Wait node based on the expected video generation time. Start with a reasonable duration (e.g., 5-10 minutes) and adjust as needed.
    • Convert to File: This node will take the binary data or URL of the generated video from the HTTP Request node's output and convert it into a file. Ensure the File Type and File Name are configured appropriately.
    • Google Drive:
      • Specify the Folder ID in Google Drive where you want to upload the videos.
      • Ensure the File Name and File Content parameters are correctly mapped from the Convert to File node's output.
  4. Activate the Workflow: Once configured, activate the workflow.
  5. Submit a Prompt: Access the URL provided by the On form submission trigger node and submit a text prompt for your video. The workflow will then execute, generating and uploading the video.

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