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caption-llava

v1.0.0

Published

This project allows you to generate image captions using the **LLaVA model** running on your local machine. It's **100% free** and **open source**, designed to help you quickly create captions for images with the ability to specify a tone of voice.

Downloads

17

Readme

🖼️ Image Caption Generator ( Caption LLAVA)

This project allows you to generate image captions using the LLaVA model running on your local machine. It's 100% free and open source, designed to help you quickly create captions for images with the ability to specify a tone of voice.

✨ Features

  • Free and open source.
  • Generate captions based on images using the LLaVA model.
  • Specify the tone of the captions (e.g., professional, casual, humorous, etc.).
  • Simple and intuitive command-line usage.

⚡️ Usage

To generate captions for your images, use the following command in your terminal:

caption [IMAGE_FOLDER] [DESTINATION_PATH] [TONE]

Example:

caption ./my-image ./my-output professional
  • [IMAGE_FOLDER]: The folder containing the images you want to generate captions for.
  • [DESTINATION_PATH]: The folder where the generated captions will be saved.
  • [TONE]: The tone of the caption, such as professional, casual, or humorous.

📥 Installation

  1. Clone the repository:
    git clone [email protected]:fiqryq/caption-llava.git
  2. Navigate to the project directory:
    cd caption-llava
  3. Install the required dependencies:
    npm install  # or yarn install # or pnpm install
  4. Run the application:
    npm start  # or yarn start # or pnpm install

🛠️ Requirements

  • Node.js installed on your machine.
  • The LLaVA model configured locally.

📝 Notes

  • Make sure the LLaVA model is properly set up and running on your machine before using the caption generator.
  • The tone parameter is optional. If you don't specify a tone, it defaults to a general caption style.

🤝 Contributing

Contributions are welcome! Feel free to open an issue or submit a pull request to improve the project.

📄 License

This project is licensed under the MIT License. See the LICENSE file for more details.