Roop: One-Click Deepfake

[vc_row][vc_column][vc_headings linewidth=”0″ borderwidth=”1″ borderclr=”#000000″ title=”Roop” google_fonts=”font_family:Comfortaa%3A300%2Cregular%2C700|font_style:700%20bold%20regular%3A700%3Anormal” titlesize=”60″ titleclr=”#000000″]One-Click DeepFake[/vc_headings][vc_single_image image=”3056″ alignment=”center”][vc_column_text]Roop Deepfake is a tool that lets you swap faces in videos with just one image of the desired face. You don’t need to collect many images or train a model to do this. You need to run a Python script and select the face and the target video. Roop Deepfake will do the rest for you. It uses a library called insightface and some models to detect and replace faces. You can also use GPU acceleration to speed up the process. Roop Deepfake is an experimental project that aims to make deepfake technology more accessible and easy to use.[/vc_column_text][vc_separator color=”turquoise”][/vc_column][/vc_row][vc_row][vc_column][vc_headings style=”theme4″ borderclr=”#000000″ style2=”image” title=”How To Install Roop Deepkafe” google_fonts=”font_family:Comfortaa%3A300%2Cregular%2C700|font_style:700%20bold%20regular%3A700%3Anormal” lineheight=”3″ titlesize=”40″ titleclr=”#000000″ image_id=”2854″][/vc_headings][vc_column_text]

1- Basic Installation

install python (ifneed, install pip too)
install git
install ffmpeg
If you are using Windows, you have to install Visual Studio 2022 (with desktop development C++).
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, Mirror #4. Rename the downloaded file to inswapper_128.onnx if it isn’t already named.

Done. You should be able to use this tool with the command: python run.py.[/vc_column_text][vc_column_text]

1- GPU Acceleration Installation

AMD

pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm5.4.2
pip uninstall onnxruntime
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

[/vc_column_text][vc_message]This guide is for linux users only. Windows does not support AMD GPUs.[/vc_message][vc_column_text]

NVIDIA

Linux

install CUDA toolkit from here
install CUDNN from here
pip uninstall onnxruntime onnxruntime-gpu
pip install torch torchvision torchaudio --force-reinstall --index-url https://download.pytorch.org/whl/cu118
pip install onnxruntime-gpu

Mac

brew install wget cmake protobuf git git-lfs
git clone https://github.com/cansik/onnxruntime-silicon && cd onnxruntime-silicon
./build-macos.sh
pip install dist/*whl (Depending on the situation, you may have to adapt this step accordingly.)

[/vc_column_text][vc_column_text]

Intel

pip uninstall onnxruntime
install the intel-specific onnxruntime called OpenVINO

[/vc_column_text][vc_separator color=”peacoc” border_width=”2″][/vc_column][/vc_row][vc_row][vc_column][vc_headings style=”theme4″ borderclr=”#000000″ style2=”image” title=”How Roop Works” google_fonts=”font_family:Comfortaa%3A300%2Cregular%2C700|font_style:700%20bold%20regular%3A700%3Anormal” lineheight=”3″ titlesize=”40″ titleclr=”#000000″ image_id=”2854″][/vc_headings][vc_column_text]To start this window, run the command: python run.py

Roop deepfake [/vc_column_text][vc_column_text]To swap faces on photos or videos, follow these steps:

Select a face photo (the one you want to use as a replacement) and a target photo or video (the one you want to change the face on).
Click on Start and wait for the AI to process your request.
Find the output file in the folder you chose. The folder name will be the same as the target file name.
Enjoy your face-swapped result!

[/vc_column_text][vc_message message_box_color=”warning” icon_fontawesome=”fas fa-exclamation-triangle”]Changing the FPS option can cause problems if you are not familiar with it.[/vc_message][vc_column_text]

Some of the additional command-line arguments that you can use are::

options:
  -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
  --gpu                 use gpu
  --keep-fps            maintain original fps
  --keep-frames         keep frames directory
  --max-memory MAX_MEMORY
                        maximum amount of RAM in GB to be used
  --max-cores CORES_COUNT
                        number of cores to be use for CPU mode

To run the program without a graphical interface, you can use the -f or –face argument. This will enable the CLI mode.

[/vc_column_text][vc_message]The Roop AI requires some models to function properly. They will be downloaded automatically the first time you execute Roop tool. The total size of the models is about 300MB.[/vc_message][vc_btn title=”Project Page” color=”inverse” align=”center” i_align=”right” i_icon_fontawesome=”fab fa-github” add_icon=”true” link=”url:https%3A%2F%2Fgithub.com%2Fs0md3v%2Froop”][vc_btn title=”Project Demos” color=”danger” align=”center” i_align=”right” i_icon_fontawesome=”far fa-play-circle” add_icon=”true” link=”url:https%3A%2F%2Fdrive.google.com%2Fdrive%2Ffolders%2F1KHv8n_rd3Lcr2v7jBq1yPSTWM554Gq8e%3Fusp%3Dsharing”][/vc_column][/vc_row]