Google Vertex AI Veo3
Dies ist ein Content Creation, Multimodal AI-Bereich Automatisierungsworkflow mit 13 Nodes. Hauptsächlich werden If, Set, Wait, HttpRequest, ConvertToFile und andere Nodes verwendet. Videos aus Chats mit Google Vertex AI (Veo3) generieren
- •Möglicherweise sind Ziel-API-Anmeldedaten erforderlich
Verwendete Nodes (13)
Kategorie
{
"id": "EnIaJOKCuqYJ8ul1",
"meta": {},
"name": "Google Vertex AI Veo3",
"tags": [],
"nodes": [
{
"id": "6300d7f4-c714-43fe-9139-6864b6285847",
"name": "Warten",
"type": "n8n-nodes-base.wait",
"position": [
416,
0
],
"parameters": {
"amount": 15
},
"typeVersion": 1.1
},
{
"id": "42ab0b46-93d2-40e7-8070-45e9db320ee0",
"name": "Auf Video abfragen",
"type": "n8n-nodes-base.httpRequest",
"position": [
624,
0
],
"parameters": {
"url": "<<<VERTEX_FETCH_OPERATION_URL>>>",
"method": "POST",
"options": {},
"jsonBody": "={\n \"operationName\": \"{{$json.name}}\"\n}\n",
"sendBody": true,
"specifyBody": "json",
"authentication": "predefinedCredentialType",
"nodeCredentialType": "googleOAuth2Api"
},
"typeVersion": 4.2
},
{
"id": "aaf39750-83e5-4d47-a990-d81ba4bb976c",
"name": "Felder bearbeiten",
"type": "n8n-nodes-base.set",
"position": [
1088,
-16
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "5836e9ec-261f-462f-bc00-c92df3aeb2b7",
"name": "b64",
"type": "string",
"value": "={{ $json.response.videos[0].bytesBase64Encoded }}"
},
{
"id": "5910d171-eb3f-421b-873c-a6b18fa78093",
"name": "mime",
"type": "string",
"value": "={{ $json.response.videos[0].mimeType }}"
},
{
"id": "494760a4-0ae1-4c23-978b-8797625ffd43",
"name": "filename",
"type": "string",
"value": "veo_sample_video"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "b16e9bd2-9042-4b6a-a1fc-240cd31c2dd5",
"name": "In Datei konvertieren",
"type": "n8n-nodes-base.convertToFile",
"position": [
1296,
-16
],
"parameters": {
"options": {},
"operation": "toBinary",
"sourceProperty": "b64"
},
"typeVersion": 1.1
},
{
"id": "6d89bf29-5440-4c51-b12c-ed15f2fa418a",
"name": "Veo3 Fast posten",
"type": "n8n-nodes-base.httpRequest",
"position": [
192,
0
],
"parameters": {
"url": "<<<VERTEX_PREDICT_LONG_RUNNING_URL>>>",
"method": "POST",
"options": {},
"jsonBody": "={\n \"instances\": [{ \"prompt\": \"{{ $json.chatInput }}\" }],\n \"parameters\": {\n \"aspectRatio\": \"16:9\",\n \"durationSeconds\": 8,\n \"resolution\": \"720p\",\n \"sampleCount\": 1\n }\n}\n",
"sendBody": true,
"specifyBody": "json",
"authentication": "predefinedCredentialType",
"nodeCredentialType": "googleOAuth2Api"
},
"typeVersion": 4.2
},
{
"id": "dafb335c-d7af-4942-836b-67a8c1388d95",
"name": "Wenn",
"type": "n8n-nodes-base.if",
"position": [
832,
0
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "5de4dcc5-afd1-49ab-aa0e-c2c6ecf247e1",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "",
"rightValue": ""
}
]
}
},
"typeVersion": 2.2
},
{
"id": "b17e2101-cfb7-4446-a46c-389f49252158",
"name": "Warten1",
"type": "n8n-nodes-base.wait",
"position": [
800,
240
],
"parameters": {},
"typeVersion": 1.1
},
{
"id": "ab424258-b4e3-4532-b993-b42544402ca9",
"name": "Bei Chatnachricht-Empfang",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"position": [
-112,
0
],
"parameters": {
"options": {}
},
"typeVersion": 1.3
},
{
"id": "6ba0b8e4-0f65-4c95-8cad-4f1f95fee28c",
"name": "Notiz",
"type": "n8n-nodes-base.stickyNote",
"position": [
-256,
-256
],
"parameters": {
"width": 336,
"height": 800,
"content": "Chat Trigger"
},
"typeVersion": 1
},
{
"id": "ca396856-da6d-4449-9425-0d21dc2ceaa1",
"name": "Notiz1",
"type": "n8n-nodes-base.stickyNote",
"position": [
96,
-256
],
"parameters": {
"color": 4,
"width": 288,
"height": 800,
"content": "Post to Google Vertex AI (Veo3)"
},
"typeVersion": 1
},
{
"id": "b6b8292b-efa8-4cff-b98b-5690227c135d",
"name": "Notiz2",
"type": "n8n-nodes-base.stickyNote",
"position": [
400,
-256
],
"parameters": {
"color": 5,
"width": 608,
"height": 800,
"content": "Poll Video Loop"
},
"typeVersion": 1
},
{
"id": "8080cbe5-6ac8-453f-8bd4-3dcae37b31ce",
"name": "Notiz3",
"type": "n8n-nodes-base.stickyNote",
"position": [
1024,
-256
],
"parameters": {
"color": 6,
"width": 480,
"height": 800,
"content": "Download Binary"
},
"typeVersion": 1
},
{
"id": "c173d6c0-abed-4e18-975c-c325ac6b587c",
"name": "Notiz4",
"type": "n8n-nodes-base.stickyNote",
"position": [
-880,
-368
],
"parameters": {
"color": 7,
"width": 576,
"height": 912,
"content": "🎬 Generate Videos from Chat with Google Vertex AI (Veo3)\n\nDescription\nTurn any text prompt into a short AI-generated video directly from an n8n chat. This workflow connects a chat trigger to Google Vertex AI’s Veo3 model, sending your prompt as input and polling until the rendered video is ready. Once complete, the video is converted into a downloadable file you can use anywhere. Perfect for experimenting with AI-driven media or automating creative video generation inside your workflows.\n\nWatch step-by-step guide for these type of workflows here:\nwww.youtube.com/@automatewithmarc\n\nHow It Works\n\nChat Trigger – Start by typing your prompt into an n8n chat.\n\nPost to Vertex AI (Veo3) – Sends the prompt to the Veo3 API with parameters like aspect ratio, duration, and resolution.\n\nWait + Poll Loop – Repeatedly checks the operation status until the video is finished.\n\nIf + Edit Fields – Extracts the base64 video response and metadata.\n\nConvert to File – Turns the video into a binary file for download or use in further automations.\n\nWhy You’ll Love It\n\n⚡ Generate custom AI videos in minutes.\n\n🗣️ Natural workflow — just type your idea in chat.\n\n🎥 Flexible parameters — adjust resolution, aspect ratio, and duration.\n\n🔗 Ready for integration — feed the output into Google Drive, Slack, or any connected app.\n\nRequirements\n\nGoogle Cloud project with Vertex AI API enabled.\n\nGoogle OAuth credentials in n8n.\n\nn8n (Cloud or self-hosted)."
},
"typeVersion": 1
}
],
"active": false,
"settings": {
"executionOrder": "v1"
},
"connections": {
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{
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],
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},
"6300d7f4-c714-43fe-9139-6864b6285847": {
"main": [
[
{
"node": "42ab0b46-93d2-40e7-8070-45e9db320ee0",
"type": "main",
"index": 0
}
]
]
},
"b17e2101-cfb7-4446-a46c-389f49252158": {
"main": [
[
{
"node": "42ab0b46-93d2-40e7-8070-45e9db320ee0",
"type": "main",
"index": 0
}
]
]
},
"aaf39750-83e5-4d47-a990-d81ba4bb976c": {
"main": [
[
{
"node": "b16e9bd2-9042-4b6a-a1fc-240cd31c2dd5",
"type": "main",
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},
"42ab0b46-93d2-40e7-8070-45e9db320ee0": {
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[
{
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]
]
},
"6d89bf29-5440-4c51-b12c-ed15f2fa418a": {
"main": [
[
{
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}
]
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},
"ab424258-b4e3-4532-b993-b42544402ca9": {
"main": [
[
{
"node": "6d89bf29-5440-4c51-b12c-ed15f2fa418a",
"type": "main",
"index": 0
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]
]
}
}
}Wie verwende ich diesen Workflow?
Kopieren Sie den obigen JSON-Code, erstellen Sie einen neuen Workflow in Ihrer n8n-Instanz und wählen Sie "Aus JSON importieren". Fügen Sie die Konfiguration ein und passen Sie die Anmeldedaten nach Bedarf an.
Für welche Szenarien ist dieser Workflow geeignet?
Fortgeschritten - Content-Erstellung, Multimodales KI
Ist es kostenpflichtig?
Dieser Workflow ist völlig kostenlos. Beachten Sie jedoch, dass Drittanbieterdienste (wie OpenAI API), die im Workflow verwendet werden, möglicherweise kostenpflichtig sind.
Verwandte Workflows
Automate With Marc
@marconiAutomating Start-Up and Business processes. Helping non-techies understand and leverage Agentic AI with easy to understand step-by-step tutorials. Check out my educational content: https://www.youtube.com/@Automatewithmarc
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