Skip to content

OffenseTeacher/roop

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

9 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Take a video and replace the face in it with a face of your choice. You only need one image of the desired face. No dataset, no training.

That's it, that's the software.

demo-gif

Installation

Do not create any issues regarding installation problems. I am only responsible for issues in this program, use google for help.

  1. install python, pip and git
  2. install ffmpeg
  3. run the following commands in terminal:
git clone https://github.com/s0md3v/roop
cd roop
pip install -r requirements.txt
  1. Download this file and keep it in roop directory

GPU Accleration (Optional)

If you have a good enough GPU, you can use it to speed-up the face-swapping process by running run.py with --gpu flag. If you plan on doing it, you will need to install the appropriate onnxruntime-* package as follows:

NVIDIA

Install cuda and then,

pip install onnxruntime-gpu

AMD

Install ROCM-based torch packages from here and then,

git clone https://github.com/microsoft/onnxruntime
cd onnxruntime
./build.sh --config Release --build_wheel --update --build --parallel --cmake_extra_defines CMAKE_PREFIX_PATH=/opt/rocm/lib/cmake ONNXRUNTIME_VERSION=$ONNXRUNTIME_VERSION onnxruntime_BUILD_UNIT_TESTS=off --use_rocm --rocm_home=/opt/rocm
pip install build/Linux/Release/dist/*.whl

Usage

Note: When you run this program for the first time, it will download some models ~300MB in size.

Executing python run.py command will launch this window: gui-demo

Choose a face (image with desired face) and the target image/video (image/video in which you want to replace the face) and click on Start. Open file explorer and navigate to the directory you launched run.py from. You will find a directory named <video_title> where you can see the frames being swapped in realtime. Once the processing is done, it will create a video file named swapped-<video_title>.mp4. That's it.

Don't touch the FPS checkbox unless you know what you are doing.

Additional command line arguments are given below:

-h, --help            show this help message and exit
-f SOURCE_IMG, --face SOURCE_IMG
                        use this face
-t TARGET_PATH, --target TARGET_PATH
                        replace this face
--keep-fps            keep original fps
--gpu                 use gpu
--keep-frames         don't delete frames directory

Looking for a CLI mode? Using the -f/--face argument will make the program in cli mode.

Future plans

  • Replace a selective face throughout the video
  • Support for replacing multiple faces

Credits

  • ffmpeg: for making video related operations easy
  • deepinsight: for their insightface project which provided a well-made library and models.
  • and all developers behind libraries used in this project.

About

one-click deepfake (face swap)

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%