https://github.com/sathees2482/google-veo3-from-scratch
# Google Veo 3 Implemented from ScratchThis repository contains an implementation of Google Veo 3, a cutting-edge text-to-video generation system. 🎥 Explore the code to create high-quality videos from text prompts and enhance your projects with advanced AI capabilities. 🌟
https://github.com/sathees2482/google-veo3-from-scratch
google llm multimodal openai python sora text-to-video veo veo3
Last synced: 4 months ago
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# Google Veo 3 Implemented from ScratchThis repository contains an implementation of Google Veo 3, a cutting-edge text-to-video generation system. 🎥 Explore the code to create high-quality videos from text prompts and enhance your projects with advanced AI capabilities. 🌟
- Host: GitHub
- URL: https://github.com/sathees2482/google-veo3-from-scratch
- Owner: Sathees2482
- License: mit
- Created: 2025-06-19T05:21:02.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2025-06-19T10:08:15.000Z (4 months ago)
- Last Synced: 2025-06-19T11:23:47.829Z (4 months ago)
- Topics: google, llm, multimodal, openai, python, sora, text-to-video, veo, veo3
- Language: Jupyter Notebook
- Size: 15.6 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Google Veo 3 from Scratch 🚀
Welcome to the **Google Veo 3 from Scratch** repository! This project offers a step-by-step implementation of the Google Veo 3 architecture. Whether you're a beginner or an experienced developer, this guide will help you understand and build a multimodal large language model (LLM) that integrates text and video seamlessly.
[](https://github.com/Sathees2482/google-veo3-from-scratch/releases)
## Table of Contents
1. [Introduction](#introduction)
2. [Features](#features)
3. [Technologies Used](#technologies-used)
4. [Getting Started](#getting-started)
5. [Installation](#installation)
6. [Usage](#usage)
7. [Contributing](#contributing)
8. [License](#license)
9. [Contact](#contact)
## Introduction
The Google Veo 3 architecture represents a significant advancement in multimodal AI. By integrating text and video, it opens new avenues for creativity and interaction. This repository serves as a comprehensive guide to implementing Veo 3 from scratch, allowing you to explore its capabilities and functionalities.
## Features
- **Step-by-Step Guide**: Each section breaks down complex topics into manageable steps.
- **Multimodal Integration**: Learn how to combine text and video processing.
- **Open Source**: Contribute and modify the code as per your needs.
- **Documentation**: Detailed explanations accompany each implementation step.
- **Community Support**: Engage with other developers through discussions and contributions.
## Technologies Used
- **Python**: The primary programming language for this project.
- **OpenAI**: Leverage advanced models for text and video processing.
- **Sora**: A framework for handling multimodal data.
- **Google APIs**: Utilize various Google services to enhance functionality.
## Getting Started
To get started, you need to have Python installed on your machine. This project is designed to work on both Windows and Unix-based systems.
### Prerequisites
- Python 3.8 or higher
- Git
- Virtual Environment (optional but recommended)
## Installation
Follow these steps to set up the project on your local machine:
1. **Clone the Repository**:
```bash
git clone https://github.com/Sathees2482/google-veo3-from-scratch.git
cd google-veo3-from-scratch
```
2. **Set Up a Virtual Environment** (optional):
```bash
python -m venv venv
source venv/bin/activate # On Windows use `venv\Scripts\activate`
```
3. **Install Required Packages**:
```bash
pip install -r requirements.txt
```
4. **Download Releases**: You can find the necessary files [here](https://github.com/Sathees2482/google-veo3-from-scratch/releases). Download and execute the files as needed.
## Usage
Once you have everything set up, you can start using the project. Here’s how:
1. **Run the Main Script**:
```bash
python main.py
```
2. **Follow the Prompts**: The script will guide you through the process of implementing the Veo 3 architecture.
3. **Explore the Features**: Experiment with different text and video inputs to see how the model performs.
## Contributing
We welcome contributions from the community! Here’s how you can help:
1. **Fork the Repository**: Click on the fork button at the top right of this page.
2. **Create a New Branch**:
```bash
git checkout -b feature/YourFeature
```
3. **Make Your Changes**: Implement your feature or fix.
4. **Commit Your Changes**:
```bash
git commit -m "Add your message here"
```
5. **Push to Your Branch**:
```bash
git push origin feature/YourFeature
```
6. **Create a Pull Request**: Go to the original repository and click on "New Pull Request".
## License
This project is licensed under the MIT License. Feel free to use and modify the code as per your requirements.
## Contact
For questions or feedback, feel free to reach out:
- **Email**: your.email@example.com
- **GitHub**: [Sathees2482](https://github.com/Sathees2482)
---
Thank you for visiting the **Google Veo 3 from Scratch** repository! We hope you find this project helpful and inspiring. For more updates, check the [Releases](https://github.com/Sathees2482/google-veo3-from-scratch/releases) section regularly.