Auto-Generate VIRAL AI Videos Using Veo 3 + n8n (No-Code Tutorial)

Key Concepts

• No-code automation: Creating automated workflows without writing code.
• NAND: A no-code platform used to build the automation.
• AI video generation: Using AI models to create videos from text prompts.
• file.ai: A platform providing access to AI models, including Google's V3, via API.
• OpenAI API: Using OpenAI's models (like GPT-4.1) to generate text prompts for video creation.
• HTTP Request Node: A NAND node used to interact with external APIs.
• BLTO API: A platform for automating social media posting.
• Dynamic variables: Using data from previous nodes (like form submissions) to customize prompts and requests.

Creating Automated AI-Generated Videos with No-Code

Introduction

The video demonstrates how to create automated, AI-generated videos using a no-code platform called NAND. These videos, similar to those trending on TikTok and Instagram, can be generated and posted to social media with minimal effort. The core idea is to leverage AI models like Google's V3 (accessed through file.ai) to create videos from text prompts generated by OpenAI, all orchestrated within a NAND workflow.

Workflow Overview

The workflow consists of the following steps:

1. Form Submission (Trigger): A NAND form is used to collect user inputs, such as influencer type, background event, video focus, and time of day.
2. Prompt Generation (OpenAI): The form data is sent to OpenAI's GPT-4.1 model to generate a text prompt tailored to the video's content and style.
3. Video Generation (file.ai): The generated prompt is sent to file.ai, which uses Google's V3 model to create a video based on the prompt.
4. Waiting Node: A wait node is added to allow time for the video to be generated.
5. Video Retrieval (file.ai): The generated video is retrieved from file.ai using an HTTP request.
6. Social Media Posting (BLTO - Optional): The video can be automatically posted to various social media platforms using the BLTO API.

Step-by-Step Guide to Building the Workflow

1. Setting up the NAND Form:
   • Add an "On Form Submission" trigger to the workflow.
   • Customize the form title and description.
   • Add form elements for influencer type (drop-down list with options like "crypto bro," "gym bro," "skincare guru"), background event (drop-down list with options like "floods on the street," "city's on fire"), video focus (text field with placeholders like "unboxing PR skincare kit"), and time of day (drop-down list with options like "morning," "dusk," "midnight").
   • Mark fields as required.
2. Configuring OpenAI for Prompt Generation:
   • Add an "OpenAI" node and select "Message a Model."
   • Connect an OpenAI account by creating new credentials and inserting the API key.
   • Select the GPT-4.1 model.
   • Define the prompt using dynamic variables from the form submission. Example prompt: "Create a 5-second selfie-style influencer parody video. The speaker is a {{ $json["influencer type"] }} speaking into their phone, talking about {{ $json["video focus"] }}. Keep the tone absurdly chillful and upbeat because the world is on fire in the background."
   • Toggle "Simplify Output" and "Output.json Content."
3. Integrating file.ai for Video Generation:
   • Add an "HTTP Request" node.
   • Set the method to "POST."
   • Set the URL to the file.ai V3 endpoint (provided in the video and community resources).
   • Configure authentication using generic credentials, selecting "Header" as the type and creating new credentials with "Authorization" as the key and the file.ai API key as the value.
   • Toggle "Send Body" and select "Using JSON."
   • Define the JSON body to include the prompt from the OpenAI node. Example: {"prompt": "{{ $json[\"choices\"][0][\"message\"][\"content\"] }}"}.
4. Adding a Wait Node:
   • Add a "Wait" node to allow time for file.ai to generate the video (e.g., 5 minutes).
5. Retrieving the Generated Video from file.ai:
   • Add another "HTTP Request" node.
   • Set the method to "GET."
   • Set the URL to the file.ai video retrieval endpoint (provided in the video and community resources), using the request ID from the previous file.ai request.
   • Configure authentication as before.
6. Optional: Integrating BLTO for Social Media Posting:
   • Add an HTTP Request node for each social media platform (Instagram, LinkedIn, YouTube, TikTok, etc.).
   • Configure each node with the appropriate BLTO API endpoint, API key, and JSON payload for posting content.

Monetization and Community

The video emphasizes the potential for monetizing these AI-generated videos by creating niche channels on social media platforms. The creator also promotes their community, offering resources, courses, and support for learning NAND and AI automation, including a course specifically designed to help users launch an AI agency and monetize their skills. The community provides access to pre-built workflows, code snippets, and a client success toolkit.

Important Considerations

• file.ai Pricing: The video highlights the high cost of using file.ai's V3 API, currently priced at approximately $3.75 for a 5-second video.
• API Key Security: The importance of keeping API keys secure and not sharing them with others is stressed.
• Customization: The workflow can be customized to generate videos for various niches and purposes by modifying the form elements and prompts.

Notable Quotes

• "In Tik Tok right now these videos are blowing up... none of this is real. All of this is just all created with Google's V3 uh AI model."
• "NAND is the best tool right now for AI automations and it's the most popular one."

Technical Terms Explained

• JSON (JavaScript Object Notation): A lightweight data-interchange format used for transmitting data between a server and a web application.
• API (Application Programming Interface): A set of rules and specifications that software programs can follow to communicate with each other.
• Endpoint: A specific URL that an API exposes for accessing a particular resource or functionality.
• HTTP Request: A method of communication between a client and a server over the internet.

Logical Connections

The workflow is structured logically, with each step building upon the previous one. The form submission provides the input for the prompt generation, which in turn provides the input for the video generation. The video retrieval step depends on the successful completion of the video generation step. The optional social media posting step depends on the successful retrieval of the video.

Synthesis/Conclusion

The video provides a comprehensive guide to creating automated, AI-generated videos using a no-code platform. By combining the power of NAND, OpenAI, and file.ai, users can create engaging video content with minimal effort. While the cost of using file.ai's V3 API is a significant consideration, the potential for monetization and the availability of community resources make this a promising approach for content creation and automation.