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. You can watch some demos here.
Do not create any issues regarding installation problems. I am only responsible for issues in this program, use google for help.
- install
python
,pip
andgit
- install
ffmpeg
- run the following commands in terminal:
git clone https://github.com/s0md3v/roop
cd roop
pip install -r requirements.txt
-
Download this file and keep it in roop directory. Mirror #1, Mirror #2, Mirror #3
-
If you are on windows, you will need to install
Microsoft Visual C++ 14.0
. Google how to do that.
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:
Install cuda
and then,
pip install onnxruntime-gpu
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
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:
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 select your output to be in. 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 the output file. 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
-o OUTPUT_FILE, --output OUTPUT_FILE
save output to this file
--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.
- Replace a selective face throughout the video
- Support for replacing multiple faces
- 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.