Generate Video from Prompt Using Vertex AI 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](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. 3. Connect your Google Drive OAuth2 credentials to allow file upload. 4. 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 ``` 2. Paste the token in the workflow form field `YOUR_ACCESS_TOKEN` when submitting. 3. **Do not hardcode the token** into HTTP nodes or Set nodes - input it each time or use a secure credential vault.