Automate video creation with Luma AI Dream Machine and Airtable (Part 2)

Open on n8n.io

$20/month : Unlimited workflows

2500 executions/month

Try free

THE #1 IN WEB SCRAPING

Scrape any website without limits

Try free

HOSTINGER

Early Deal
DISCOUNT 20%

Self-hosted n8n

Unlimited workflows - from $4.99/mo

Try free

#1 hub for scraping, AI & automation

6000+ actors - $5 credits/mo

Try free

Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Automate Video Creation with Luma AI Dream Machine and Airtable (Part 2) Description This is the second part of the Luma AI Dream Machine automation. It captures the webhook response from Luma AI a...

Best for

Content Creation automation workflows
Multimodal AI automation workflows
intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.webhook, n8n-nodes-base.set, n8n-nodes-base.executiondata, n8n-nodes-base.if, n8n-nodes-base.stickynote, n8n-nodes-base.airtable

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Alex Kim.

Original n8n.io source

1.1 Workflow description

Title: Automate video creation with Luma AI Dream Machine and Airtable (Part 2)
Workflow name: Automate video creation with Luma AI Dream Machine and Airtable (Part 2)

Automate Video Creation with Luma AI Dream Machine and Airtable (Part 2)

Description

This is the second part of the Luma AI Dream Machine automation. It captures the webhook response from Luma AI after video generation is complete, processes the data, and automatically updates Airtable with the video and thumbnail URLs. This completes the end-to-end automation for video creation and tracking.

👉 Airtable Base Template
👉 Tutorial Video

Setup

1. Luma AI Setup

Ensure you’ve created an account with Luma AI and generated an API key.
Confirm that the API key has permission to manage video requests.

2. Airtable Setup

Make sure your Airtable base includes the following fields (set up in Part 1):

Use the Airtable Base Template linked above to simplify setup.
Generation ID – To match incoming webhook data.
Status – Workflow status (e.g., "Done").
Video URL – Stores the generated video URL.
Thumbnail URL – Stores the thumbnail URL.

3. n8n Setup

Ensure that the n8n workflow from Part 1 is set up and configured.
Import this workflow and connect it to the webhook callback from Luma AI.

How It Works

1. Webhook Trigger

The Webhook node listens for a POST response from Luma AI once video generation is finished.
The response includes:
- Video URL – Direct link to the video.
- Thumbnail URL – Link to the video thumbnail.
- Generation ID – Used to match the record in Airtable.

2. Process Webhook Data

The Set node extracts the video data from the webhook response.
The If node checks if the video URL is valid before proceeding.

3. Store in Airtable

The Airtable node updates the record with:
- Video URL – Direct link to the video.
- Thumbnail URL – Link to the video thumbnail.
- Status – Marked as "Done."
Uses the Generation ID to match and update the correct record.

Why This Workflow is Useful

✅ Automates the completion step for video creation
✅ Ensures accurate record-keeping by matching generation IDs
✅ Simplifies the process of managing and organizing video content
✅ Reduces manual effort by automating the update process

Next Steps

Future Enhancements – Adding more complex post-processing, video trimming, and multi-platform publishing.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Webhook

Type / Role: n8n-nodes-base.webhook - webhook
Config choices: Version 2

Block 2 - Video JSON

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 3 - Execution Data

Type / Role: n8n-nodes-base.executionData - executionData
Config choices: Version 1

Block 4 - If

Type / Role: n8n-nodes-base.if - if
Config choices: Version 2.2

Block 5 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 6 - Global SETTINGS

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 7 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 8 - ADD Video and Thumbnail URL

Type / Role: n8n-nodes-base.airtable - airtable
Config choices: Version 2.1

3. Summary Table

Workflow	Automate video creation with Luma AI Dream Machine and Airtable (Part 2)
Complexity	intermediate
Nodes	8
Categories	Content Creation, Multimodal AI
Author	Alex Kim
Published	17 Mar 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/3201/3201.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Content Creation workflows Multimodal AI workflows

Frequently asked questions

What does Automate video creation with Luma AI Dream Machine and Airtable (Part 2) do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Content Creation, Multimodal AI use case.

Alex Kim

15 workflows

Nodes

n8n-nodes-base.webhook n8n-nodes-base.set n8n-nodes-base.executiondata n8n-nodes-base.if n8n-nodes-base.stickynote n8n-nodes-base.airtable

Complexity

intermediate

Published 17 Mar 2025

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/3201/3201.json

Share Your Workflow

Have a useful automation to share? Publish it and help the community.

Submit Your Template How to Submit

Related Workflows

Send daily LinkedIn post drafts with Tavily, Groq Llama 3.3 and Gmail

## Quick overview This workflow runs daily at 8 AM to rotate through a topic list, research it with Tavily web search, generate a LinkedIn post and image prompt with Groq (Llama 3.3 70B), create a Pollinations.ai image URL, and email you the post with the image attached via Gmail. ## How it works 1. Runs every day at 8:00 AM on a schedule. 2. Selects today’s topic from a rotating list based on the day of the year. 3. Searches the web with Tavily to fetch up-to-date results for the selected topic. 4. Uses a Groq-hosted Llama model to write a LinkedIn post and a matching image prompt grounded in the Tavily results. 5. Builds a Pollinations.ai image generation URL from the image prompt and downloads the generated image file. 6. Emails the post text with the image attached via Gmail, and sends a text-only fallback email if image generation or download fails. ## Setup 1. Add a Groq API credential to the Groq Chat Model node. 2. Create a Tavily API key and configure HTTP Header Auth with `Authorization: Bearer <YOUR_TAVILY_KEY>` for the Tavily Search request. 3. Connect a Gmail OAuth2 credential and update the recipient email address in both Gmail send steps. 4. Edit the topic list in the topic-selection code step if you want different rotating themes. ## Requirements - Groq API key (free tier available) - Tavily API key (free tier — 1,000 searches/month) - Gmail account (OAuth2) ## Customization - Edit the topic list inside the "Pick Today's Topic" code node to change what subjects the post rotates through. - Change the Groq model in the "Groq Chat Model" node if you want a different LLM (e.g. a smaller/faster or larger Groq model). - Adjust the schedule trigger if you want a different posting time, or swap the Gmail "send to" address to deliver the draft to someone else for review. ## Additional info This workflow emails you a draft for manual review before posting — it does not post to LinkedIn automatically. If image generation fails, a text-only fallback email is sent instead so you never miss the post text.

View

Generate VEO3 videos from form ideas with ChatGPT, fal.ai, Drive and Gmail

## Quick overview This workflow collects a video idea via an n8n Form, uses OpenAI to turn it into an optimized prompt, generates an 8-second VEO3 video with native audio via fal.ai, saves the MP4 to Google Drive, and emails the Drive link via Gmail. ## How it works 1. Receives a submission from an n8n Form with the requester’s email, a plain-English video idea, and a selected style. 2. Uses OpenAI (via an AI Agent) to convert the idea and style into a structured VEO3 title and detailed prompt returned as JSON. 3. Cleans and parses the AI JSON, creates a filename-safe title, and sets the generation parameters to 16:9 and 8 seconds. 4. Submits the prompt to fal.ai’s queue endpoint for the fal-ai/veo3 model and gets a request ID. 5. Polls fal.ai every 30 seconds until the job status returns COMPLETED. 6. Retrieves the final MP4 URL from fal.ai, downloads the video, uploads it to Google Drive, and emails the Google Drive web link to the requester via Gmail. ## Setup 1. Create a fal.ai account, generate an API key, and replace `YOUR_FAL_AI_API_KEY` in the fal.ai HTTP request headers. 2. Add an OpenAI API credential in the OpenAI Chat Model node and select the model you want to use. 3. Connect Google Drive OAuth2 and replace `YOUR_GDRIVE_FOLDER_ID` with the target folder ID where videos should be saved. 4. Connect Gmail OAuth2 for sending emails, then activate the workflow and use the Form URL (path `veo3-video-generator`) to submit requests.

View

Generate presentation decks from prompts with Encelade

## Quick overview This workflow starts a presentation generation job in Encelade from a prompt and outline hints, polls Encelade for completion, and outputs the finished deck link (or stops with an error if generation fails). ## How it works 1. Starts when you manually execute the workflow in n8n. 2. Sends the topic, slide count, audience, tone, theme settings, and outline hints to Encelade to generate a 6-slide presentation. 3. Waits 20 seconds and then checks the Encelade session status using the returned session ID. 4. If the session phase is not finished, it keeps waiting and rechecking until the phase changes. 5. When the phase is "done", it returns the generated deck link and project PID. 6. When the phase is "failed", it stops the workflow and raises an error with the failure details. ## Setup 1. Install and configure Encelade credentials in n8n for the Encelade node. 2. Update the generation inputs (topic, page count, outline hints, audience/tone, theme mode, and media provider) to match the deck you want to create. 3. Ensure the workflow has enough time to complete by adjusting the 20-second wait interval if your Encelade generations typically take longer.

View

Need Custom Automation?

Get help designing a custom n8n workflow that connects your stack and fits your process.

Automate video creation with Luma AI Dream Machine and Airtable (Part 2)

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Automate Video Creation with Luma AI Dream Machine and Airtable (Part 2)

Description

Setup

1. Luma AI Setup

2. Airtable Setup

3. n8n Setup

How It Works

1. Webhook Trigger

2. Process Webhook Data

3. Store in Airtable

Why This Workflow is Useful

Next Steps

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Webhook

Block 2 - Video JSON

Block 3 - Execution Data

Block 4 - If

Block 5 - Sticky Note1

Block 6 - Global SETTINGS

Block 7 - Sticky Note

Block 8 - ADD Video and Thumbnail URL

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions