Awesome Deep Fake

Explore deepfake tech powered by AI. Craft unique content responsibly using free AI tools.

This repository contains a deep fake project aimed at generating realistic face-swapped videos. The project leverages deep learning models and GPU acceleration to perform face swapping efficiently.

Tips for Responsible Deepfake Creation

Consent is Key: Always obtain explicit consent from individuals whose likenesses you wish to use.
Integrity Matters: Ensure that the content you create is never harmful or defamatory.
Purposeful Creation: Strive to make content that is fun or serves a productive purpose.
Reflect Before You Act: Before publishing or sharing a deepfake video, consider its impact.

This project is a profound opportunity to engage with AI in a way that can illuminate its potential for good. Let's set an example for the responsible use of AI and build a community that prioritizes ethical considerations in all our technological endeavors.

We trust in your judgment and creativity.

Remember:

Consent is Key
Integrity Matters
Purposeful Creation
Reflect Before You Act

Installation

To set up the project, follow these steps:

Check for GPU Availability:

from IPython.display import clear_output
import codecs
import torch

if torch.cuda.is_available():
  device="cuda"
  !apt-get install nvidia-cuda-toolkit
  print("Using GPU")
else:
  device="cpu"
  print("Using CPU")

Clone the Repository:

giturl = codecs.decode('uggcf://tvguho.pbz/Mnpulfnhef/snprshfvba.tvg','rot_13')
gitdir = codecs.decode('snprshfvba','rot_13')
!git clone {giturl}
%cd /content/{gitdir}
!python install.py --onnxruntime cuda-11.8 --skip-conda

clear_output()
print("Installed!")

Running the Project

Local Gradio Interface

To run the project with a local Gradio interface:

Navigate to the Project Directory:

import codecs
gitdir = codecs.decode('snprshfvba','rot_13')
%cd /content/{gitdir}

Run the Application:

if device=="cuda":
  !python run.py --execution-providers cpu cuda
else:
  !python run.py --execution-providers cpu

Local Tunnel

To run the project with a local tunnel for remote access:

Install LocalTunnel:
```
!npm install -g localtunnel
```

Set Up Local Tunnel:

import subprocess
import threading
import time
import socket
import urllib.request

def iframe_thread(port):
    while True:
        time.sleep(0.5)
        sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
        result = sock.connect_ex(('127.0.0.1', port))
        if result == 0:
            break
        sock.close()

    from colorama import Fore, Style
    print(Fore.GREEN + "\nIP: ", Fore.RED, urllib.request.urlopen('https://ipv4.icanhazip.com').read().decode('utf8').strip("\n"), "\n", Style.RESET_ALL)
    p = subprocess.Popen(["lt", "--port", "{}".format(port)], stdout=subprocess.PIPE)
    for line in p.stdout:
        print(line.decode(), end='')

threading.Thread(target=iframe_thread, daemon=True, args=(7860,)).start()

Run the Application:
```
!python run.py
```

Through Google Colab

You can access the Refacer through Google Colab by following this link: refacer_colab.ipynb

Upload the required files

Upload the respective files to their designated sections and click “Start” (The big Red button at the bottom of the page). This action initiates a process that will “reface” all frames in the video using the provided faces. Please note that this process may take some time.

Done!

Congratulations, you have successfully created your first deepfake video.

Remember:

Consent is Key
Integrity Matters
Purposeful Creation
Reflect Before You Act

Refacer Not Working?

If you have difficulty with Refacer, try out these alternative tools.

Questions? Feedback? Requests? Discord: Samej2023

Disclaimer for Refacer

:warning: This software is provided "as is", without warranty of any kind, express or implied, including but not limited to the warranties of merchantability, fitness for a particular purpose and noninfringement. In no event shall the authors or copyright holders be liable for any claim, damages or other liability, whether in an action of contract, tort or otherwise, arising from, out of or in connection with the software or the use or other dealings in the software.

:warning: This software is intended for educational and research purposes only. It is not intended for use in any malicious activities. The author of this software does not condone or support the use of this software for any harmful actions, including but not limited to identity theft, invasion of privacy, or defamation. Any use of this software for such purposes is strictly prohibited.

:warning: You may only use this software with images for which you have the right to use and the necessary permissions. Any use of images without the proper rights and permissions is strictly prohibited.

:warning: The author of this software is not responsible for any misuse of the software or for any violation of rights and privacy resulting from such misuse.

:warning: To prevent misuse, the software contains an integrated protective mechanism that prevents it from working with illegal or similar types of media.

:warning: By using this software, you agree to abide by all applicable laws, to respect the rights and privacy of others, and to use the software responsibly and ethically.