AI-Storyboard-for-cinematography

🎬 Project Overview

The AI Storyboarding Tool is a Python-based application that automates the process of transforming textual scripts into visual storyboards. By combining natural language processing and AI-generated images, this project helps creators visualize their ideas seamlessly.

---

🚀 Features

1. Script Parsing:

   • Automatically breaks scripts into six detailed scenes.
   • Includes camera angles, mood, and background settings.

2. AI-Generated Images:

   • Uses Google Gemini AI for scene descriptions.
   • Integrates Stable Diffusion to create sketch-style visuals for each scene.

3. User-Friendly GUI:

   • Built with Tkinter to display scene images in a clean, grid-based layout.
   • Features options to refresh images dynamically.

---

📂 Directory Structure

.
├── ai_storyboarding_tool
│   ├── creativity.txt  # Input script file
│   ├── generated       # Directory for generated images
│   └── main.py         # Main script
├── README.md           # Project documentation

---

🛠️ Libraries Used

• Google Gemini AI: For generating scene details.
• Stable Diffusion: For creating visual imagery.
• Tkinter: For the graphical user interface.
• Pillow (PIL): For image resizing and processing.
• re: For script parsing with regex.
• os & shutil: For file and directory management.
• collections: For organizing images by section.

---

🔧 Installation & Setup

1. Clone the repository:

   git clone https://github.com/Tanmay0766/AI-Storyboard-for-cinematography.git

2. Navigate to the project directory:

   cd AI-Storyboard-for-cinematography

3. Install the required libraries:

   pip install -r requirements.txt

4. Add your API keys for Google Gemini AI and Stable Diffusion in the script.

5. Run the application:

   python main.py

---

🖼️ How It Works

1. Load a script (creativity.txt).
2. Parse the script into six scenes using AI.
3. Generate scene descriptions and prompts for Stable Diffusion.
4. Create and save visuals for each scene.
5. Display all visuals in the GUI, organized by sections.

---

💡 Learnings

• Implementing AI-powered workflows.
• Seamless integration of APIs like Google Gemini and Stable Diffusion.
• Designing intuitive GUIs with Tkinter.
• Advanced file organization for scalability.

---

🤝 Contributions

Contributions are welcome! Feel free to submit issues or pull requests.

---

📜 License

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

---

🌟 Acknowledgments

• The amazing teams behind Google Gemini AI and Stable Diffusion.
• Open-source libraries and the Python community for their support.