This workflow follows the Form Trigger → Google Drive recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"id": "dLrtZMRZzusZDlpa",
"meta": {
"templateCredsSetupCompleted": true
},
"name": "GoogleVertex_template",
"tags": [],
"nodes": [
{
"id": "9f66e6be-6de0-4e2c-ad5e-20059f4a0d85",
"name": "Setting",
"type": "n8n-nodes-base.set",
"position": [
-80,
0
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "5cedc3de-6221-4d7e-a6c8-82f4cb9cf0e9",
"name": "PROJECT_ID",
"type": "string",
"value": "<YOUR_PROJECT_ID>"
},
{
"id": "90019751-e2d5-4764-9bf9-e13916dcc528",
"name": "MODEL_VERSION",
"type": "string",
"value": "veo-3.0-generate-preview"
},
{
"id": "67ab205c-82b3-4263-99c4-c906a0ca6ae9",
"name": "LOCATION",
"type": "string",
"value": "<YOUR_LOCATION>"
},
{
"id": "413415fb-60c5-4d0d-ac45-1e6178a55227",
"name": "TEXT_PROMPT",
"type": "string",
"value": "={{ $json.Prompt }}"
},
{
"id": "91d09e20-87db-474f-91e1-6ed58b96dae5",
"name": "IMAGE_COUNT",
"type": "string",
"value": "1"
},
{
"id": "17954335-b96b-4813-9c4a-20817d675448",
"name": "API_ENDPOINT",
"type": "string",
"value": "<YOUR_LOCATION>-aiplatform.googleapis.com"
},
{
"id": "bf0910e1-b757-4852-9341-a7792161f89b",
"name": "ACCESS_TOKEN",
"type": "string",
"value": "={{ $json.YOUR_ACCESS_TOKEN }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "252be387-d2c6-4618-9d44-326baa0a1d6f",
"name": "Convert to File",
"type": "n8n-nodes-base.convertToFile",
"position": [
760,
0
],
"parameters": {
"options": {},
"operation": "toBinary",
"sourceProperty": "response.videos[0].bytesBase64Encoded"
},
"typeVersion": 1.1
},
{
"id": "ab04d16e-4727-49bb-b868-28db703b1b0f",
"name": "On form submission",
"type": "n8n-nodes-base.formTrigger",
"position": [
-300,
0
],
"parameters": {
"options": {},
"formTitle": "Google Vertex AI",
"formFields": {
"values": [
{
"fieldLabel": "Prompt",
"requiredField": true
},
{
"fieldLabel": "YOUR_ACCESS_TOKEN",
"requiredField": true
}
]
},
"formDescription": "Google Vertex"
},
"typeVersion": 2.2
},
{
"id": "2497f762-8f0a-4a4d-87a2-31d05c62fdee",
"name": "Google Drive",
"type": "n8n-nodes-base.googleDrive",
"position": [
980,
0
],
"parameters": {
"name": "={{ $('On form submission').item.json.submittedAt }}.mp4",
"driveId": {
"__rl": true,
"mode": "list",
"value": "My Drive",
"cachedResultUrl": "https://drive.google.com/drive/my-drive",
"cachedResultName": "My Drive"
},
"options": {},
"folderId": {
"__rl": true,
"mode": "list",
"value": "1tzpmwAWiUGolnKciZvcCghB5obhPoXzL",
"cachedResultUrl": "https://drive.google.com/drive/folders/1tzpmwAWiUGolnKciZvcCghB5obhPoXzL",
"cachedResultName": "n8n_VertexAI"
}
},
"credentials": {
"googleDriveOAuth2Api": {
"name": "<your credential>"
}
},
"typeVersion": 3
},
{
"id": "f2b78a57-403e-47d8-8f48-8af3263077d5",
"name": "Vertex AI-VEO3",
"type": "n8n-nodes-base.httpRequest",
"position": [
180,
0
],
"parameters": {
"url": "=https://{{ $json.API_ENDPOINT }}/v1/projects/{{ $json.PROJECT_ID }}/locations/{{ $json.LOCATION }}/publishers/google/models/{{ $json.MODEL_VERSION }}:predictLongRunning",
"method": "POST",
"options": {},
"jsonBody": "={\n \"endpoint\": \"projects/n8n-project-440404/locations/us-central1/publishers/google/models/veo-3.0-generate-preview\",\n \"instances\": [\n {\n \"prompt\": {{ $json.TEXT_PROMPT }}\n }\n ],\n \"parameters\": {\n \"aspectRatio\": \"16:9\",\n \"sampleCount\": 1,\n \"durationSeconds\": \"8\",\n \"personGeneration\": \"allow_all\",\n \"addWatermark\": true,\n \"includeRaiReason\": true,\n \"generateAudio\": true\n }\n}\n",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"headerParameters": {
"parameters": [
{
"name": "Content-Type",
"value": "application/json"
},
{
"name": "Authorization",
"value": "=Bearer {{ $json.ACCESS_TOKEN }}"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "8b5f1887-c001-4d95-ae04-0b9c9dd80dc4",
"name": "Vertex AI-fetch",
"type": "n8n-nodes-base.httpRequest",
"position": [
540,
0
],
"parameters": {
"url": "=https://{{ $('Setting').item.json.API_ENDPOINT }}/v1/projects/{{ $('Setting').item.json.PROJECT_ID }}/locations/{{ $('Setting').item.json.LOCATION }}/publishers/google/models/{{ $('Setting').item.json.MODEL_VERSION }}:fetchPredictOperation\n",
"method": "POST",
"options": {},
"jsonBody": "={\n \"operationName\": \"{{ $json.name }}\"\n}\n",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"headerParameters": {
"parameters": [
{
"name": "Content-Type",
"value": "application/json"
},
{
"name": "Authorization",
"value": "=Bearer {{ $('On form submission').item.json.YOUR_ACCESS_TOKEN }}"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "61565d47-ee78-4a77-bcf1-0043636a8338",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-140,
-160
],
"parameters": {
"height": 320,
"content": "### Setting GCP\n- PROJECT_ID\n- MODEL_VERSION\n- LOCATION\n- IMAGE_COUNT\n- API_ENDPOINT"
},
"typeVersion": 1
},
{
"id": "161e051f-9a74-46bd-a2f8-cf32b68279a2",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
120,
-160
],
"parameters": {
"color": 4,
"width": 580,
"height": 320,
"content": "## Veo3\n1. Sends the prompt to the Veo3 using Vertex AI\u2019s predictLongRunning endpoint.\n2. Waits for the video rendering to complete.\n3. Fetches the final result"
},
"typeVersion": 1
},
{
"id": "ca75a288-5f19-4678-ac5f-cf924843f64a",
"name": "Wait",
"type": "n8n-nodes-base.wait",
"position": [
360,
0
],
"parameters": {
"unit": "minutes",
"amount": 2
},
"typeVersion": 1.1
},
{
"id": "088bf7c8-bc74-47e5-9ca7-23807c9d5c32",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
720,
-160
],
"parameters": {
"color": 5,
"width": 200,
"height": 320,
"content": "### Convert to Video file\n\nBase64 Input Field:\n```response.videos[0].bytesBase64Encoded```"
},
"typeVersion": 1
},
{
"id": "091c8fe2-57a9-4f62-949c-84f88b38b91a",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
940,
-160
],
"parameters": {
"color": 6,
"width": 180,
"height": 320,
"content": "### Upload Video to Google Drive"
},
"typeVersion": 1
},
{
"id": "25da0c72-2dd8-47f1-93fc-8e116b5c3768",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
-380,
-160
],
"parameters": {
"color": 7,
"width": 230,
"height": 320,
"content": "### Accepts a text prompt and a GCP access token via form.\n\n\n"
},
"typeVersion": 1
},
{
"id": "14aa3de1-ece7-4272-a52e-0f0f72197f77",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
-140,
180
],
"parameters": {
"color": 7,
"width": 660,
"height": 400,
"content": "### Workflow Process\n"
},
"typeVersion": 1
},
{
"id": "4e8c2cf8-0ef1-4da0-930e-54854062e36d",
"name": "Sticky Note6",
"type": "n8n-nodes-base.stickyNote",
"position": [
540,
180
],
"parameters": {
"color": 7,
"width": 580,
"height": 400,
"content": "### Output\n"
},
"typeVersion": 1
},
{
"id": "120dcf68-1a9b-447d-a530-1e2264eb9b8f",
"name": "Sticky Note7",
"type": "n8n-nodes-base.stickyNote",
"position": [
-380,
180
],
"parameters": {
"color": 7,
"width": 230,
"height": 400,
"content": "### How to get GCP Access Token\n\nUse this command in your VM/Cloud Shell:\n\n```bash\ngcloud auth print-access-token\n"
},
"typeVersion": 1
}
],
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "f9faaec3-832c-407d-a356-14844be9fdca",
"connections": {
"Wait": {
"main": [
[
{
"node": "Vertex AI-fetch",
"type": "main",
"index": 0
}
]
]
},
"Setting": {
"main": [
[
{
"node": "Vertex AI-VEO3",
"type": "main",
"index": 0
}
]
]
},
"Vertex AI-VEO3": {
"main": [
[
{
"node": "Wait",
"type": "main",
"index": 0
}
]
]
},
"Convert to File": {
"main": [
[
{
"node": "Google Drive",
"type": "main",
"index": 0
}
]
]
},
"Vertex AI-fetch": {
"main": [
[
{
"node": "Convert to File",
"type": "main",
"index": 0
}
]
]
},
"On form submission": {
"main": [
[
{
"node": "Setting",
"type": "main",
"index": 0
}
]
]
}
}
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
googleDriveOAuth2Api
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
GoogleVertex_template. Uses formTrigger, googleDrive, httpRequest. Event-driven trigger; 15 nodes.
Source: https://github.com/GabrielMBatista/teste-repo/blob/1452a158acd4b82f5cab22c97a603219c992817d/workflows/veo3.json — original creator credit. Request a take-down →
Related workflows
Workflows that share integrations, category, or trigger type with this one. All free to copy and import.
This n8n template demonstrates how to generate subtitle overlays for YouTube videos and save the final files to Google Drive. It is useful when you want accessible video outputs without manually editi
@Videodb/N8N Nodes Videodb, HTTP Request, Form Trigger +1
This automated workflow allows seamless conversion of YouTube videos to MP3, using the YouTube to MP3 Downloader API. The converted MP3 files are uploaded to Google Drive, and all relevant conversion
Form Trigger, HTTP Request, Google Drive +1
Convert TikTok videos to MP4 , MP3 (without watermark), upload to Google Drive, and log conversion attempts into Google Sheets automatically — powered by TikTok Download Audio Video API.
Form Trigger, Google Sheets, Google Drive +1
Easily convert Facebook videos into downloadable MP4 files using Facebook Video Downloader API. This n8n workflow automates fetching videos, downloading them, uploading them to Google Drive, and loggi
Form Trigger, Google Sheets, Google Drive +1
This n8n workflow enables users to convert Instagram video links into downloadable MP4 files, store them in Google Drive, and log the results (success or failure) in Google Sheets. On form submission
Form Trigger, Google Sheets, Google Drive +1