Google Vertex AI Veo3
Ceci est unContent Creation, Multimodal AIworkflow d'automatisation du domainecontenant 13 nœuds.Utilise principalement des nœuds comme If, Set, Wait, HttpRequest, ConvertToFile. Générer des vidéos à partir de chats avec Google Vertex AI (Veo3)
- •Peut nécessiter les informations d'identification d'authentification de l'API cible
Nœuds utilisés (13)
Catégorie
{
"id": "EnIaJOKCuqYJ8ul1",
"meta": {},
"name": "Google Vertex AI Veo3",
"tags": [],
"nodes": [
{
"id": "6300d7f4-c714-43fe-9139-6864b6285847",
"name": "Attendre",
"type": "n8n-nodes-base.wait",
"position": [
416,
0
],
"parameters": {
"amount": 15
},
"typeVersion": 1.1
},
{
"id": "42ab0b46-93d2-40e7-8070-45e9db320ee0",
"name": "Interroger pour la vidéo",
"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": "Modifier les champs",
"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": "Convertir en fichier",
"type": "n8n-nodes-base.convertToFile",
"position": [
1296,
-16
],
"parameters": {
"options": {},
"operation": "toBinary",
"sourceProperty": "b64"
},
"typeVersion": 1.1
},
{
"id": "6d89bf29-5440-4c51-b12c-ed15f2fa418a",
"name": "Poster Veo3 Rapide",
"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": "Si",
"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": "Attendre1",
"type": "n8n-nodes-base.wait",
"position": [
800,
240
],
"parameters": {},
"typeVersion": 1.1
},
{
"id": "ab424258-b4e3-4532-b993-b42544402ca9",
"name": "Quand un message de chat est reçu",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"position": [
-112,
0
],
"parameters": {
"options": {}
},
"typeVersion": 1.3
},
{
"id": "6ba0b8e4-0f65-4c95-8cad-4f1f95fee28c",
"name": "Note adhésive",
"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": "Note adhésive1",
"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": "Note adhésive2",
"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": "Note adhésive3",
"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": "Note adhésive4",
"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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}
}Comment utiliser ce workflow ?
Copiez le code de configuration JSON ci-dessus, créez un nouveau workflow dans votre instance n8n et sélectionnez "Importer depuis le JSON", collez la configuration et modifiez les paramètres d'authentification selon vos besoins.
Dans quelles scénarios ce workflow est-il adapté ?
Intermédiaire - Création de contenu, IA Multimodale
Est-ce payant ?
Ce workflow est entièrement gratuit et peut être utilisé directement. Veuillez noter que les services tiers utilisés dans le workflow (comme l'API OpenAI) peuvent nécessiter un paiement de votre part.
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