Shivp1413/local-ai-video-generator

Local AI Video Generator 🎬

Generate creative videos using artificial intelligence right from your local machine! This Streamlit application leverages the CogVideoX-5b model to transform text prompts into engaging video sequences.

<table> <tr> <td><b>Panda Jumping on Moon</b></td> <td><b>Cars racing on Race-track </b></td> </tr> <tr> <td><img src="jumpingpanda.gif" width="400"/></td> <td><img src="3carracing.gif" width="400"/></td> </tr> </table>

🌟 Features

• —Text-to-video generation using CogVideoX-5b model
• —User-friendly web interface built with Streamlit
• —Adjustable video length (8 frames = 1 second of video)
• —Custom random seed for reproducible results
• —Supports both CPU and GPU acceleration
• —Easy video download in MP4 format
• —Real-time system information display

🛠️ Prerequisites

• —Python 3.9 or higher
• —CUDA-capable GPU (recommended) or CPU
• —12GB+ RAM recommended
• —Windows/Linux/MacOS

⚙️ Installation

1. 1.Clone the repository

   git clone https://github.com/Shivp1413/local-ai-video-generator.git
   cd local-ai-video-generator

1. 1.Create a virtual environment

   # Windows
   python -m venv venv
   venv\Scripts\activate

   # Linux/MacOS
   python -m venv venv
   source venv/bin/activate

1. 1.Install required packages

   pip install -r requirements.txt

🚀 Usage

1. 1.Start the application

   streamlit run src/app.py

1. 1.Access the interface
2. 2.Open your web browser
3. 3.Navigate to http://localhost:8501

1. 1.Generate a video
2. 2.Enter your creative prompt in the text area
3. 3.Adjust the number of frames (8 frames = 1 second)
4. 4.Set a random seed if you want reproducible results
5. 5.Click "Generate Video" and wait for the process to complete
6. 6.Download your video using the download button

📝 Example Prompts

Try these example prompts:

• —"A panda playing guitar in a bamboo forest"
• —"A spaceship flying through colorful nebulae"
• —"A timelapse of a flower blooming in a garden"
• —"A robot dancing in a futuristic city"

⚡ Performance Tips

1. 1.GPU Acceleration
2. 2.For optimal performance, use a CUDA-capable GPU
3. 3.Make sure you have the latest NVIDIA drivers installed
4. 4.The application will automatically detect and use GPU if available

1. 1.Memory Usage
2. 2.Reduce number of frames for faster generation
3. 3.Close other memory-intensive applications
4. 4.Monitor system resources in the sidebar

🔧 Troubleshooting

Common Issues:

1. 1.CUDA/GPU Issues

   Error: Torch not compiled with CUDA enabled

Solution: Install the CUDA-enabled version of PyTorch:

   pip uninstall torch
   pip install torch --index-url https://download.pytorch.org/whl/cu118

1. 1.Memory Issues

   CUDA out of memory

Solution: Reduce the number of frames or try running on CPU

1. 1.Model Loading Issues
2. 2.Check your internet connection
3. 3.Ensure you have enough disk space
4. 4.Try clearing your cache

📁 Project Structure

local-ai-video-generator/
├── src/
│   ├── app.py          # Main Streamlit interface
│   ├── model.py        # Model loading and configuration
│   └── utils.py        # Helper functions
├── requirements.txt    # Package dependencies
├── .gitignore         # Git ignore rules
└── README.md          # Project documentation

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

⭐ Show Your Support

If you find this project useful, please consider giving it a star on GitHub!

📧 Contact

If you have any questions or suggestions, feel free to open an issue on GitHub.

Happy Video Generating! 🎥✨