Alex Kim This workflow corresponds to n8n.io template #3200 — we link there as the canonical source.
This workflow follows the Airtable → HTTP Request 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": "2pMoIW58KP6ZeGir",
"meta": {
"templateCredsSetupCompleted": true
},
"name": "Luma AI Dream Machine - Simple v1 - AK",
"tags": [
{
"id": "tUlWC9t8VhwpFaci",
"name": "Alex - WIP",
"createdAt": "2025-02-20T17:17:53.411Z",
"updatedAt": "2025-02-20T17:17:53.411Z"
}
],
"nodes": [
{
"id": "dbe1dbcc-05a0-4439-869c-157e51a99dd1",
"name": "When clicking \u2018Test workflow\u2019",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-440,
0
],
"parameters": {},
"typeVersion": 1
},
{
"id": "603f7fdd-e590-4a51-b606-a9bb9396a0c0",
"name": "Text 2 Video",
"type": "n8n-nodes-base.httpRequest",
"position": [
220,
0
],
"parameters": {
"url": "https://api.lumalabs.ai/dream-machine/v1/generations",
"method": "POST",
"options": {},
"jsonBody": "={\n \"model\": \"ray-2\",\n \"prompt\": {{ JSON.stringify($('Global SETTINGS').first().json.video_prompt + \"; camera motion: \" + $json.action) }},\n \"aspect_ratio\": \"{{ $('Global SETTINGS').first().json.aspect_ratio }}\",\n \"duration\": \"{{ $('Global SETTINGS').item.json.duration }}\",\n \"loop\": {{ $('Global SETTINGS').first().json.loop }},\n \"callback_url\": \"{{ $('Global SETTINGS').first().json.callback_url }}\"\n \n}",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"headerParameters": {
"parameters": [
{
"name": "accept",
"value": "application/json"
}
]
}
},
"credentials": {
"httpHeaderAuth": {
"name": "<your credential>"
}
},
"typeVersion": 4.2
},
{
"id": "494ac05e-e0c5-465e-b805-2749683ab789",
"name": "RANDOM Camera Motion",
"type": "n8n-nodes-base.code",
"position": [
0,
0
],
"parameters": {
"jsCode": "const items = [\n \"Static\",\n \"Move Left\",\n \"Move Right\",\n \"Move Up\",\n \"Move Down\",\n \"Push In\",\n \"Pull Out\",\n \"Zoom In\",\n \"Zoom Out\",\n \"Pan Left\",\n \"Pan Right\",\n \"Orbit Left\",\n \"Orbit Right\",\n \"Crane Up\",\n \"Crane Down\"\n];\n\nconst randomItem = items[Math.floor(Math.random() * items.length)];\n\nreturn [{ json: { action: randomItem } }];\n"
},
"typeVersion": 2
},
{
"id": "30ba7cfc-d2c3-478f-ae01-0a3397ceb439",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-260,
-120
],
"parameters": {
"color": 3,
"width": 180,
"content": "## Define your SETTINGS here"
},
"typeVersion": 1
},
{
"id": "12924397-b2a4-43a0-8ec5-1b13c0357e40",
"name": "Global SETTINGS",
"type": "n8n-nodes-base.set",
"position": [
-220,
0
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "7064f685-d91f-4049-9fcb-dd7018c1bc8d",
"name": "aspect_ratio",
"type": "string",
"value": "9:16"
},
{
"id": "3d6d3fe0-4e4a-4d1b-9f6a-08037a4e2785",
"name": "video_prompt",
"type": "string",
"value": "a superhero flying through a volcano"
},
{
"id": "7ae48bee-0be5-487f-8d6d-ea7fe98fdd36",
"name": "loop",
"type": "string",
"value": "true"
},
{
"id": "82930db0-971e-4de4-911d-ff5a7fab5d67",
"name": "duration",
"type": "string",
"value": "5s"
},
{
"id": "b51d9834-87c8-4358-a257-6a02ebe2576d",
"name": "cluster_id",
"type": "string",
"value": "={{ Date.now() + '_' + Math.random().toString(36).slice(2, 10) }}"
},
{
"id": "8756fe2d-df04-48d4-9cd4-d29b8d9a3ab1",
"name": "airtable_base",
"type": "string",
"value": "appvk87mtcwRve5p5"
},
{
"id": "a83707ef-3a1c-4b3c-939c-1376bc43cc76",
"name": "airtable_table_generated_videos",
"type": "string",
"value": "tblOzRFWgcsfttRWK"
},
{
"id": "694528cd-c51e-45ac-8dbe-1b33b347f590",
"name": "callback_url",
"type": "string",
"value": "https://YOURURL.com/luma-ai"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "9f4732b5-8e3e-4fb6-942f-32c72b3eb041",
"name": "ADD Video Info",
"type": "n8n-nodes-base.airtable",
"position": [
660,
0
],
"parameters": {
"base": {
"__rl": true,
"mode": "id",
"value": "={{ $('Global SETTINGS').first().json.airtable_base }}"
},
"table": {
"__rl": true,
"mode": "id",
"value": "={{ $('Global SETTINGS').first().json.airtable_table_generated_videos }}"
},
"columns": {
"value": {
"Model": "={{ $json.model }}",
"Aspect": "={{ $json.request.aspect_ratio }}",
"Length": "={{ $json.request.duration }}",
"Prompt": "={{ $('Global SETTINGS').first().json.video_prompt }}",
"Status": "Done",
"Cluster ID": "={{ $('Global SETTINGS').first().json.cluster_id }}",
"Resolution": "={{ $json.request.resolution }}",
"Generation ID": "={{ $json.id }}"
},
"schema": [
{
"id": "Generation ID",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Generation ID",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Status",
"type": "options",
"display": true,
"options": [
{
"name": "Todo",
"value": "Todo"
},
{
"name": "In progress",
"value": "In progress"
},
{
"name": "Done",
"value": "Done"
}
],
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Status",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Content Title",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Content Title",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Video URL",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Video URL",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Thumb URL",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Thumb URL",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Prompt",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Prompt",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "VO",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "VO",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Aspect",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Aspect",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Model",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Model",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Resolution",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Resolution",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Length",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Length",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Created",
"type": "string",
"display": true,
"removed": false,
"readOnly": true,
"required": false,
"displayName": "Created",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Cluster ID",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Cluster ID",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "create"
},
"credentials": {
"airtableTokenApi": {
"name": "<your credential>"
}
},
"typeVersion": 2.1
},
{
"id": "9923373d-d4ce-42bb-9f2d-34350f64ac5b",
"name": "Execution Data",
"type": "n8n-nodes-base.executionData",
"position": [
440,
0
],
"parameters": {},
"typeVersion": 1
},
{
"id": "5044e1f2-c985-4c3a-9386-f4fe4f85f37b",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-40,
-120
],
"parameters": {
"color": 5,
"width": 840,
"content": "## This is where the magic happens... "
},
"typeVersion": 1
}
],
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "e756199d-31fc-4e2f-8937-3625295a147c",
"connections": {
"Text 2 Video": {
"main": [
[
{
"node": "Execution Data",
"type": "main",
"index": 0
}
]
]
},
"ADD Video Info": {
"main": [
[]
]
},
"Execution Data": {
"main": [
[
{
"node": "ADD Video Info",
"type": "main",
"index": 0
}
]
]
},
"Global SETTINGS": {
"main": [
[
{
"node": "RANDOM Camera Motion",
"type": "main",
"index": 0
}
]
]
},
"RANDOM Camera Motion": {
"main": [
[
{
"node": "Text 2 Video",
"type": "main",
"index": 0
}
]
]
},
"When clicking \u2018Test workflow\u2019": {
"main": [
[
{
"node": "Global SETTINGS",
"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.
airtableTokenApihttpHeaderAuth
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
This workflow automates video creation using Luma AI Dream Machine and n8n. It generates dynamic videos based on custom prompts, random camera motion, and predefined settings, then stores the video and thumbnail URLs in Airtable for easy access and tracking. This automation…
Source: https://n8n.io/workflows/3200/ — 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.
Lmchatopenai Workflow. Uses noOp, stickyNote, executeWorkflowTrigger, airtable. Event-driven trigger; 41 nodes.
Execute Workflow Trigger, Airtable, HTTP Request
This n8n workflow retrieves an Airtable record along with its related child records in a hierarchical structure. It can fetch up to 3 levels of linked records and assembles them into a comprehensive J
Execute Workflow Trigger, Airtable, HTTP Request
How it works
Airtable Trigger, Sendinblue, Airtable +1
This workflow automatically pulls SERP rankings, competitor keywords, and related keyword ideas from DataForSEO and stores structured results in Airtable — making SEO tracking and keyword research str
Airtable, HTTP Request
d16-Web-Scraper-Data-Flow. Uses httpRequest, airtable, executeWorkflowTrigger. Event-driven trigger; 20 nodes.
HTTP Request, Airtable, Execute Workflow Trigger