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An AI driven Video manipulation toolkit

License: MIT License

CSS 3.71% Python 75.95% Jupyter Notebook 0.37% C++ 5.60% Cuda 14.38%
generative-ai generative-models gradio pytorch video-deblurring video-denoising video-frame-interpolation video-upscaling

framester's Introduction

Framester

AI Video manipulation toolbox! An AI driven Video manipulation toolkit

Contributors Forks Stargazers Issues MIT License LinkedIn

About The Project

NOTE: This README is still work in progress, stay tuned. 😬

Built With

Python PyTorch NVIDIA_CUDA

Supported OS

Ubuntu

Getting Started

Clone the repository in your local machine.

NOTE: We will provide trained models soon.

Prerequisites

Please make sure that you have:

  1. Python3 programming Language
  2. NVIDIA RTX 30xx GPU (We have tested with RTX 3070 Notebook GPU)
  3. CUDA with appropriate cuDNN installed

Installation

NOTE: We will share the model weights soon.

  1. Clone the main branch

    git clone https://github.com/mohitgupta3/Framester.git

  2. Install Python packages

    pip3 install -r requirements.txt

  3. Run the Gradio app

    gradio app.py

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