Extend and merge UGC viral videos using Kling 2.1, then publish on social media

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Built by Davide Boizza Davide Boizza
Created on June 13, 2026

Description

This workflow automates the full pipeline for extending short Viral UGC-style videos using AI, merging them, and finally publishing the output to cloud storage or social media platforms (TikTok, Instagram, Facebook, Linkedin, X, and YouTube). It integrates multiple external APIs (Fal.ai, Runpod/Kling 2.1, Postiz, Upload-Post, Google Sheets, Google Drive) to create a smooth end-to-end video-generation system.

Key Advantages

1. ✅ Full End-to-End Automation

The workflow covers the entire process:

Read inputs
Generate extended clips
Merge them
Save outputs
Publish on social platforms

No manual intervention required after starting the workflow.

2. ✅ AI-Powered Video Extension (Kling 2.1 or other models like Veo 3.1 or Sora 2)

The system uses Kling 2.1 (Kling 2.1 or other models like Veo 3.1 or Sora 2) to extend short videos realistically, enabling:

Longer UGC clips
Consistent cinematic style
Smooth transitions based on extracted frames

Ideal for viral social media content.

3. ✅ Smart Integration with Google Sheets

The spreadsheet becomes a control panel:

Add new videos to extend
Control merging
Automatically store URLs and results

This makes the system user-friendly even for non-technical operators.

4. ✅ Robust Asynchronous Job Handling

Every external API includes:

Status checks
Waiting loops
Error prevention steps

This ensures reliability when working with long-running AI processes.

5. ✅ Automatic Merging and Publishing

Once videos are generated, the workflow:

Merges them in the correct order
Uploads them to Google Drive
Posts them automatically to selected social platforms

This drastically reduces time required for content production and distribution.

6. ✅ Highly Scalable and Customizable

Because it is built in n8n:

You can add more APIs
You can add editing steps
You can connect custom triggers (e.g., Airtable, webhooks, Shopify, etc.)
You can fully automate your video-production pipeline

How It Works
This workflow automates the process of extending and merging videos using AI-generated content, then publishing the final result to social media platforms. The process consists of five main stages:

Data Input & Frame Extraction**
The workflow starts by reading video and prompt data from a Google Sheet. It extracts the last frame from the input video using Fal.ai’s FFmpeg API.

AI Video Generation**
The extracted frame is sent to RunPod’s Kling 2.1 AI model to generate a new video clip based on the provided prompt and desired duration.

Video Merging**
Once the AI-generated clip is ready, it is merged with the original video using Fal.ai’s FFmpeg merge functionality to create a seamless extended video.

Storage & Publishing**
The final merged video is uploaded to Google Drive and simultaneously distributed to social media platforms via:
YouTube (via Upload-Post)
TikTok, Instagram, Facebook, X, and YouTube (via Postiz)

Progress Tracking**
Throughout the process, the Google Sheet is updated with the status, video URLs, and completion markers to keep track of each step.

Set Up Steps
To configure this workflow, follow these steps:

Prepare the Google Sheet
Use the provided template or clone this sheet.
Fill in the START (video URL), PROMPT (AI prompt), and DURATION (in seconds) columns.

Configure Fal.ai API for Frame Extraction & Merging
Create an account at fal.ai.
Obtain your API key.
In the nodes “Extract last frame”, “Merge Videos”, and related status nodes, set up HTTP Header Authentication with:
Name: Authorization
Value: Key YOUR_API_KEY

Set Up RunPod API for AI Video Generation
Sign up at RunPod and get your API key.
In the “Generate clip” node, configure HTTP Bearer Authentication with:
Value: Bearer YOUR_RUNPOD_API_KEY

Configure Social Media Publishing
For YouTube:
Create a free account at Upload-Post and set your YOUR_USERNAME and TITLE in the “Upload to Youtube” node.
For Multi-Platform Posting:
Sign up at Postiz and configure your Channel_ID and TITLE in the “Upload to Social” node.

Connect Google Services
Set up Google Sheets and Google Drive OAuth2 credentials in their respective nodes to allow reading from and writing to the sheet and uploading videos to Drive.

Execute the Workflow
Once all credentials are set, trigger the workflow manually via the “When clicking ‘Execute workflow’” node.
The process will run autonomously, updating the sheet and publishing the final video upon completion.
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Need help customizing?
Contact me for consulting and support or add me on Linkedin.

Nodes Used (4)

Code
n8n-nodes-base.code
Google Drive
n8n-nodes-base.googleDrive
Google Sheets
n8n-nodes-base.googleSheets
HTTP Request
n8n-nodes-base.httpRequest