Giter VIP home page Giter VIP logo

swap-mukham's Introduction

Swap-Mukham

Open In Colab Hugging Face

Description

A simple face swapper based on insightface inswapper heavily inspired by roop.

Features

  • Easy to use Gradio gui
  • Support Image, Video, Directory inputs
  • Swap specific face (face recognition)
  • Video trim tool
  • Face enhancer (GFPGAN, Real-ESRGAN)
  • Face parsing mask
  • colab support
swap-mukham-demo.mp4

Comparison

10

Installation

CPU Install

git clone https://github.com/harisreedhar/Swap-Mukham
cd Swap-Mukham
conda create -n swapmukham python=3.10 -y
conda activate swapmukham
pip install torch==2.0.0+cpu torchvision==0.15.1+cpu torchaudio==2.0.1 --index-url https://download.pytorch.org/whl/cpu
pip install -r requirements_cpu.txt
python app.py

GPU Install (CUDA)

git clone https://github.com/harisreedhar/Swap-Mukham
cd Swap-Mukham
conda create -n swapmukham python=3.10 -y
conda activate swapmukham
conda install pytorch==2.0.0 torchvision==0.15.0 torchaudio==2.0.0 pytorch-cuda=11.8 -c pytorch -c nvidia
pip install -r requirements.txt
python app.py --cuda --batch_size 32

Download Models

Disclaimer

We would like to emphasize that our deep fake software is intended for responsible and ethical use only. We must stress that users are solely responsible for their actions when using our software.

  1. Intended Usage: Our deep fake software is designed to assist users in creating realistic and entertaining content, such as movies, visual effects, virtual reality experiences, and other creative applications. We encourage users to explore these possibilities within the boundaries of legality, ethical considerations, and respect for others' privacy.

  2. Ethical Guidelines: Users are expected to adhere to a set of ethical guidelines when using our software. These guidelines include, but are not limited to:

Not creating or sharing deep fake content that could harm, defame, or harass individuals. Obtaining proper consent and permissions from individuals featured in the content before using their likeness. Avoiding the use of deep fake technology for deceptive purposes, including misinformation or malicious intent. Respecting and abiding by applicable laws, regulations, and copyright restrictions.

  1. Privacy and Consent: Users are responsible for ensuring that they have the necessary permissions and consents from individuals whose likeness they intend to use in their deep fake creations. We strongly discourage the creation of deep fake content without explicit consent, particularly if it involves non-consensual or private content. It is essential to respect the privacy and dignity of all individuals involved.

  2. Legal Considerations: Users must understand and comply with all relevant local, regional, and international laws pertaining to deep fake technology. This includes laws related to privacy, defamation, intellectual property rights, and other relevant legislation. Users should consult legal professionals if they have any doubts regarding the legal implications of their deep fake creations.

  3. Liability and Responsibility: We, as the creators and providers of the deep fake software, cannot be held responsible for the actions or consequences resulting from the usage of our software. Users assume full liability and responsibility for any misuse, unintended effects, or abusive behavior associated with the deep fake content they create.

By using our deep fake software, users acknowledge that they have read, understood, and agreed to abide by the above guidelines and disclaimers. We strongly encourage users to approach deep fake technology with caution, integrity, and respect for the well-being and rights of others.

Remember, technology should be used to empower and inspire, not to harm or deceive. Let's strive for ethical and responsible use of deep fake technology for the betterment of society.

Acknowledgements

Loved my work?

"Buy Me A Coffee"

License

MIT

swap-mukham's People

Contributors

harisreedhar avatar almagestum469 avatar binitkumarshirsath avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.