🎬 Offline AI Video Generator

Offline AI Video Generator is a modular pipeline that automatically creates short-form videos using local AI models. It combines multiple components—language generation, text-to-speech, image generation, subtitle alignment, and video rendering—into a fully offline workflow.

Ideal as a demonstration of practical AI integration, media generation, and automation systems in a real-world scenario.

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📌 Key Features

• 🔒 Fully Offline Workflow
  No internet connection required. All models run locally for maximum privacy and portability.

• 🧠 Content Generation
  Uses a local LLM (e.g., via Ollama) to generate the video script and associated image prompts.

• 🎙 Text-to-Speech (TTS)
  Converts generated text into natural-sounding audio using Coqui TTS.

• 🖼 Image Generation
  Creates images from prompts using Stable Diffusion models (e.g., Realistic_Vision_V5.1_noVAE).

• 📝 Subtitle Generation
  Aligns speech with text using Whisper or whisper.cpp to create subtitle tracks.

• 🎞 Video Composition
  Assembles images, audio, subtitles, and background music into a final MP4 video.

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⚙️ Installation

1. Clone the repository

git clone https://github.com/your-username/offline-ai-video-generator.git
cd offline-ai-video-generator

2. Set up a virtual environment

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies

pip install -r requirements.txt

4. Download & Configure Models

ollama run ollama3.2

5. Usage

cd video-creator
python main.py