AI Storyboard Tool for DaVinci Resolve

Overview

This is a web-based AI-powered storyboard tool designed to generate sketches and sequence shots based on a text prompt. It provides a simple UI for users to input descriptions, tweak settings, and export metadata and XML files compatible with DaVinci Resolve.

Features

• AI-Generated Sketches using Stable Diffusion or OpenAI's DALL·E.
• Shot Sequencing based on cinematic principles.
• AI-Suggested Camera Angles & Compositions.
• User Manual Adjustments for shot compositions.
• Support for Multiple Aspect Ratios (16:9, 2.35:1, vertical video, etc.).
• Storyboard Timeline for reordering and replacing shots.
• Export to DaVinci Resolve via XML format.

Tech Stack

Frontend (Web UI)

• Framework: React.js (or Next.js for SSR)
• Styling: Tailwind CSS or Chakra UI
• State Management: Redux or Zustand
• WebGL for Sketch Rendering: Three.js or PixiJS
• AI Model Integration: TensorFlow.js (for real-time tweaks)

Backend (AI Processing & Data Handling)

• Language: Python (for AI and ML models)
• Framework: FastAPI or Flask
• AI Model Hosting:
  • Stable Diffusion (via Replicate API or custom server)
  • OpenAI’s DALL·E (for sketches)
• Database: PostgreSQL (for metadata storage)
• Storage: AWS S3 or Firebase (for storing generated images)
• Export Format: XML (formatted for DaVinci Resolve)

Infrastructure

• Hosting: Vercel (for frontend), AWS/GCP (for backend AI processing)
• Containerization: Docker (for easier deployment)
• Queue System (if needed for batch processing): Celery with Redis

Setup & Installation

Prerequisites

• Node.js & npm/yarn
• Python 3.8+
• Docker & Docker Compose
• PostgreSQL database
• AWS/GCP credentials (if deploying)

Installation Steps

1. Clone the Repository

git clone https://github.com/your-repo/ai-storyboard-tool.git
cd ai-storyboard-tool

2. Set Up Backend

cd backend
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
pip install -r requirements.txt

3. Set Up Frontend

cd frontend
npm install  # or yarn install

4. Run the Project

Run Backend

cd backend
uvicorn main:app --host 0.0.0.0 --port 8000

Run Frontend

cd frontend
npm run dev  # or yarn dev

Run with Docker

docker-compose up --build

API Endpoints

• POST /generate-storyboard → Generates sketches and sequences shots
• GET /storyboard/:id → Retrieves a storyboard
• POST /export-xml → Exports storyboard metadata to XML

Contribution

Feel free to contribute by submitting PRs or reporting issues!

License

MIT License