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Automate UGC video creation with Sora 2, OpenAI, and Gemini

Santhej KalladaSanthej Kallada
1401 views
2/3/2026
Official Page

In this tutorial, I’ll show how to create UGC (User Generated Content) videos automatically using n8n and Sora 2.

This workflow uses OpenAI to generate detailed prompts and Sora 2 to produce realistic UGC-style videos that look natural and engaging.

Who is this for?

  • Marketers and social media managers scaling short-form video content

  • Agencies producing branded or influencer-style content

  • Content creators and freelancers automating their video workflows

  • Anyone exploring AI-driven video generation and automation

What problem is this workflow solving?

Creating authentic, human-like UGC videos manually takes time and effort.
This workflow automates the entire process by:

  • Generating engaging scripts or prompts via OpenAI

  • Sending those prompts to Sora 2 for automatic video generation

  • Managing rendering and delivery inside n8n

  • Eliminating manual editing and production steps

What this workflow does

This workflow connects n8n, OpenAI, and Sora 2 to fully automate the creation of short-form UGC videos.

The steps include:

  1. Taking user input (topic, tone, niche).

  2. Using OpenAI to create a detailed video prompt.

  3. Sending the prompt to Sora 2 via HTTP Request to generate the video.

  4. Handling video rendering and storing or sending results automatically.

By the end, you’ll have a complete UGC video pipeline running on autopilot — producing content for under $1.50 per video.

Setup

  1. Create Accounts:
  • Sign up for n8n.io (cloud or self-hosted).

  • Get access to OpenAI API and Sora 2.

  1. Generate API Keys:
  • Retrieve API keys from OpenAI and Sora 2.

  • Store them securely in n8n credentials.

  1. Create Workflow:
  • Add a Form Trigger or Webhook Trigger for input (topic, target audience).

  • Add an OpenAI Node to generate script prompts.

  • Connect an HTTP Request Node to send the prompt to Sora 2.

  • Use a Wait Node or delay logic for video rendering completion.

  • Store or send the output video file via Gmail, Telegram, or Google Drive.

  1. Test the Workflow:
  • Run a test topic.

  • Confirm that Sora 2 generates and returns a video automatically.

How to customize this workflow to your needs

  • Adjust OpenAI prompts for specific video styles (tutorials, product demos, testimonials).

  • Integrate video output with social media platforms via n8n nodes.

  • Add text-to-speech layers for voiceover automation.

  • Schedule automatic content creation using Cron triggers.

  • Connect with Notion or Airtable to manage content ideas.

Notes

  • You’ll need valid API keys for both OpenAI and Sora 2.

  • Sora 2 may charge per render (approx. $1–$1.50 per video).

  • Ensure your workflow includes sufficient delay/wait handling for video rendering.

  • Works seamlessly on n8n Cloud or self-hosted setups.

Want a Video Tutorial on How to Set Up This Automation?

👉 Watch on YouTube

Automate UGC Video Creation with Sora, OpenAI, and Gemini

This n8n workflow streamlines the process of generating User-Generated Content (UGC) videos by integrating AI capabilities from OpenAI (potentially Sora for video generation) and Gemini, along with image editing and file management. It allows users to submit content via a form, processes it, and stores the results in Google Drive.

What it does

This workflow automates the following steps:

  1. Triggers on Form Submission: Initiates the workflow when a user submits data through an n8n form.
  2. Prepares Data: Edits and sets relevant fields from the form submission for subsequent processing.
  3. Loops Over Items: Processes items in batches, likely to handle multiple content pieces or variations efficiently.
  4. Generates AI Content (OpenAI): Utilizes OpenAI (e.g., for text generation, image generation, or potentially video generation with Sora) based on the input.
  5. Edits Images: Manipulates or enhances images, possibly for use in video creation or as standalone assets.
  6. Conditional Logic: Routes the workflow based on certain conditions, allowing for different processing paths.
  7. Converts to File: Transforms processed data into a file format.
  8. Extracts from File: Extracts data from a file, potentially for further analysis or specific processing.
  9. Splits Out Data: Separates or expands data items, useful for handling nested structures or arrays.
  10. Makes HTTP Requests: Interacts with external APIs, which could include Gemini or other services for additional AI processing or data exchange.
  11. Waits for a Duration: Pauses the workflow for a specified period, useful for rate limiting or waiting for external processes.
  12. Uploads to Google Drive: Stores the final generated content or related files in Google Drive.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running n8n instance to import and execute the workflow.
  • OpenAI Account & API Key: For utilizing OpenAI's models (e.g., GPT, DALL-E, or Sora if applicable).
  • Google Drive Account & Credentials: For storing generated content.
  • Gemini (via HTTP Request): Access to the Gemini API (likely configured through the HTTP Request node).
  • n8n Form: The form that triggers the workflow needs to be configured.

Setup/Usage

  1. Import the Workflow: Download the provided JSON and import it into your n8n instance.
  2. Configure Credentials:
    • Set up your OpenAI credentials with your API key.
    • Configure your Google Drive credentials to allow n8n to access your drive.
    • Ensure any necessary authentication for Gemini (or other external APIs) is correctly set up within the "HTTP Request" node.
  3. Configure the n8n Form Trigger:
    • Define the fields in the "On form submission" node that users will fill out. These fields will provide the input for your UGC video creation.
  4. Customize AI Prompts and Logic:
    • Adjust the "OpenAI" node with the specific prompts or instructions for generating text, images, or videos.
    • Modify the "Edit Image" node settings for desired image manipulations.
    • Customize the "If" node's conditions to control the workflow's branching logic based on your requirements.
    • Update the "HTTP Request" node to interact with the Gemini API or any other service as needed.
  5. Test the Workflow: Run a test submission through the n8n form to ensure all steps execute correctly and content is generated and stored as expected.
  6. Activate the Workflow: Once configured and tested, activate the workflow to enable automatic UGC video creation upon form submissions.

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