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.
| Target Video | Output Video |
|---|---|
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Be aware, the installation needs technical skills and is not for beginners. Please do not open platform and installation related issues on GitHub. We have a very helpful Discord community that will guide you to install roop.
Basic - It is more likely to work on your computer, but will be quite slow
Acceleration - Unleash the full potential of your CPU and GPU
Start the program with arguments:
python run.py [options]
-h, --help show this help message and exit
-s SOURCE_PATH, --source SOURCE_PATH select an source image
-t TARGET_PATH, --target TARGET_PATH select an target image or video
-o OUTPUT_PATH, --output OUTPUT_PATH select output file or directory
--frame-processor FRAME_PROCESSOR [FRAME_PROCESSOR ...] frame processors (choices: face_swapper, face_enhancer, ...)
--keep-fps keep target fps
--keep-frames keep temporary frames
--skip-audio skip target audio
--many-faces process every face
--reference-face-position REFERENCE_FACE_POSITION position of the reference face
--reference-frame-number REFERENCE_FRAME_NUMBER number of the reference frame
--similar-face-distance SIMILAR_FACE_DISTANCE face distance used for recognition
--temp-frame-format {jpg,png} image format used for frame extraction
--temp-frame-quality [0-100] image quality used for frame extraction
--output-video-encoder {libx264,libx265,libvpx-vp9,h264_nvenc,hevc_nvenc} encoder used for the output video
--output-video-quality [0-100] quality used for the output video
--max-memory MAX_MEMORY maximum amount of RAM in GB
--execution-provider {cpu} [{cpu} ...] available execution provider (choices: cpu, ...)
--execution-threads EXECUTION_THREADS number of execution threads
-v, --version show program's version number and exit
Using the -s/--source, -t/--target and -o/--output argument will run the program in headless mode.
This software is meant to be a productive contribution to the rapidly growing AI-generated media industry. It will help artists with tasks such as animating a custom character or using the character as a model for clothing etc.
The developers of this software are aware of its possible unethical applications and are committed to take preventative measures against them. It has a built-in check which prevents the program from working on inappropriate media including but not limited to nudity, graphic content, sensitive material such as war footage etc. We will continue to develop this project in the positive direction while adhering to law and ethics. This project may be shut down or include watermarks on the output if requested by law.
Users of this software are expected to use this software responsibly while abiding the local law. If face of a real person is being used, users are suggested to get consent from the concerned person and clearly mention that it is a deepfake when posting content online. Developers of this software will not be responsible for actions of end-users.
Our software uses a lot of third party libraries as well pre-trained models. The users should keep in mind that these third party components have their own license and terms, therefore our license is not being applied.
- deepinsight for their insightface project which provided a well-made library and models.
- all developers behind the libraries used in this project
Read the documenation for a deep dive.