About Roop
What is Roop?
Roop is a Python-based application designed for face-swapping in images and videos. It utilizes the 'inswapper_128.onnx' model from InsightFace to perform face replacements. The tool operates via command-line interface (CLI) and supports various options for customization, including frame processors like 'face_swapper' and 'face_enhancer', video encoding options, and execution providers such as 'cpu' or 'cuda' for GPU acceleration. While the project has been discontinued and will not receive further updates, it remains functional for users interested in face-swapping tasks.
How to use Roop?
- Clone the repository:
git clone https://github.com/s0md3v/roop - Navigate to the project directory:
cd roop - Install dependencies:
pip install -r requirements.txt - Run the application with desired arguments:
python run.py -s source_image.jpg -t target_video.mp4 -o output_video.mp4 - Optional: Enable GPU acceleration by adding
--execution-provider cudaif using a CUDA-enabled GPU.
What Are the Key Features of Roop?
Face Swapping
Replace faces in images and videos using a single reference photo.
GPU Acceleration
Utilize CUDA-enabled GPUs for faster processing (optional).
Frame Processors
Apply processors like 'face_swapper' and 'face_enhancer' to enhance results.
Video Encoding
Choose from various video encoders such as 'libx264' and 'hevc_nvenc'.
Batch Processing
Process multiple images or videos in a batch mode.
Real-World Use Cases of Roop
Roop Integrations
