videoAI-generate

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動画生成 - AI Video Generation with Open Source

This project provides open-source tools for AI-powered video generation using Tencent Hunyuan model, running on Google Colab.

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🎥 Features

• AI Video Generation: Generate videos from text prompts using Hunyuan model
• Image to Video: Transform static images into dynamic videos
• Multi-modal: Support for text-to-video and image-to-video
• Free to Use: Runs on Google Colab free tier
• Open Source: All code is available and modifiable

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🚀 Getting Started

Prerequisites

• Google Account (for Colab)
• HuggingFace account (for model access)

Installation

# Clone the repository
git clone https://github.com/Lswitch18/videoAI-generate.git
cd videoAI-generate

# Install dependencies
pip install -r requirements.txt

Running on Google Colab

1. Open install_hunyuan.sh in Google Colab
2. Run the installation cells
3. Use brain_hunyuan.py or gerar_video.py to generate videos

Quick Example

from brain_hunyuan import generate_video

# Generate video from prompt
video_path = generate_video(
    prompt="A beautiful sunset over the ocean with waves",
    duration=5,
    fps=30
)

print(f"Video saved to: {video_path}")

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📁 Project Structure

videoAI-generate/
├── brain.py              # Main brain module
├── brain_hunyuan.py     # Hunyuan integration
├── gerar_video.py       # Video generation script
├── install_hunyuan.sh  # Colab installation script
├── requirements.txt    # Python dependencies
├── agent.md          # Agent configuration
├── README.md         # This file
└── docs/            # Additional documentation

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🛠️ Tech Stack

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📖 Documentation

• Installation Guide - Step by step installation
• Agent Configuration - Agent settings
• Video Generation - Usage examples

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⚠️ Important Notes

1. Rate Limits: Google Colab has usage limits on free tier
2. Model Download: First run downloads the model (~GB of storage)
3. GPU Queue: May need to wait for GPU availability on Colab

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🤝 Contributing

1. Fork the repository
2. Create your branch (git checkout -b feature/nova-funcionalidade)
3. Commit your changes (git commit -m 'feat: nova funcionalidade')
4. Push to branch (git push origin feature/nova-funcionalidade)
5. Open a Pull Request

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📜 License

MIT License - Copyright (c) 2024

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📧 Contact

For questions or suggestions, please open an issue on GitHub.

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