/Text-to-Video-Generator

Primary LanguagePython

Text to Video Generator

Overview

This project is a Flask web application that generates short videos from text prompts using a pre-trained model. The app supports both CPU and GPU execution, detecting CUDA automatically for GPU acceleration.

Features

  • Generate videos from text using the damo-vilab/text-to-video-ms-1.7b model.
  • Web interface to input prompts and specify the number of frames.
  • Preview or download the generated video.
  • Supports GPU acceleration (if available).

Installation

  1. Clone the repository:

    git clone https://github.com/shahinur-alam/Text-to-Video-Generator.git
cd Text-to-Video-Generator

  2. Install dependencies:

    pip install -r requirements.txt

  3. Start the Flask server:

    python app.py

  4. Open the app in your browser at http://127.0.0.1:5000.

Usage

  1. Enter a prompt and number of frames in the form.
  2. Click "Generate Video."
  3. Preview or download the generated .mp4 video.

API Endpoints

  • GET /: Displays the video generation form.
  • POST /: Processes the video generation request.
  • GET /download/: Downloads the generated video.

File Structure

  • app.py: Main application.
  • templates/index.html: Web interface.
  • requirements.txt: Dependencies.