AI-Powered Historical POV Video Generation

Name: AI-Powered Historical POV Video Generation
Rating: 5 (13 reviews)
Author: Free N8N

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Social MediaAILLMPOVcontent creationhistoricalsocial mediavideo generation

Automate the creation of engaging, short-form viral historical POV videos using AI. This workflow leverages an LLM node to generate detailed scene prompts for historical breakthroughs, perfect for educational content channels.

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About This Workflow

Overview

This n8n workflow automates the creation of short-form, viral-style historical Point-of-View (POV) videos. It addresses the need for engaging, educational content by utilizing an AI Large Language Model (LLM) to generate detailed prompts for video scenes. The workflow takes a theme and topic as input and produces a series of image and voiceover prompts, ensuring visual consistency and historical accuracy. This is ideal for channels focused on history, science, or technology.

Key Features

Generates 5-scene, 25-second POV video scripts with image and voiceover prompts.
Ensures visual consistency across scenes through detailed prompt engineering.
Adapts to user-defined historical themes and specific events.
Outputs structured JSON for each scene, suitable for integration with video generation tools.

How To Use

Configure the 'OpenAI Chat Model' node with your OpenAI API credentials.
In the 'Basic LLM Chain' node, define the promptType as 'define' and customize the text parameter with your desired channel name and video length requirements.
Provide the Theme and Topic for your video, likely through a 'Google Sheets' node or manual input.
The workflow will output structured data containing image prompts, voiceover scripts, and image-to-video prompts for each scene.

Apps Used

LLM

POV

content creation

historical

social media

video generation

Workflow JSON

{
  "id": "1f061534-5c08-4aa1-a193-c3912d679fb5",
  "name": "AI-Powered Historical POV Video Generation",
  "nodes": 0,
  "category": "Social Media",
  "status": "active",
  "version": "1.0.0"
}

Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.