Rope – DeepFake (face swap) Installation on Windows

One of my popular posts on my site is the Roop DeepFake (face swap) installation. Roop has not been updated for a while. Rope is an advanced, open-source GUI application designed for real-time face swapping in images and videos to replace Roop. Developed by Hillobar, it builds upon the capabilities of Roop, offering a user-friendly interface that simplifies the face-swapping process for creators, editors, and developers. In this article, I am going to show you how to install and use Rope on Windows.

Requirement

  • Miniconda
  • Git
  • FFMPEG
  • CUDA Toolkit 11.8 (needed if utilizing GPU)
    • Download CUDA Toolkit v11.8 here
    • Check if the installation was successful (run in the terminal)
      • nvcc --version
  • cuDNN >= v8.5 for CUDA 11.x (needed if utilizing GPU)

Installation

  • Open a Miniconda prompt and change directory to where you want to do the installation.
  • Clone the repository
    git clone https://github.com/Hillobar/Rope
    cd Rope
  • Create a conda environment
    conda create -n Rope python=3.10.13
  • Activate the environment
    conda activate Rope
  • Install the requirements
    python -m pip install -r requirements.txt
  • Download the models from here and put them in Rope\models.

Example

  • Open a Miniconda prompt and change directory to the Rope directory.
  • Start Rope.
    conda activate Rope
    Rope.bat
  • Specify the directories.
  • Click on Start Rope and the directories got populated with preview.
  • Click on the source video.
  • Click on Find faces.
  • 1. Select the original face. 2. Click on Swap faces. 3. Select the target face.
  • Change parameters as needed.
  • Finally, click on the record button and then the play button. The video will be generated and saved in the directory you specified.

Conclusion

That’s it! You’ve now learned how to use Rope to create high-quality face-swaps with ease. Whether you’re experimenting with AI for creative projects or enhancing your video production, Rope offers a powerful and efficient way to achieve realistic results.

⚠️ Disclaimer: This post is for educational purposes only. Deepfake technology should always be used ethically and responsibly. I am not responsible for any misuse of this tool. Do not use AI-generated content to mislead, deceive, or harm others. Always obtain the necessary permissions before modifying or sharing any media.

Let me know in the comments if you have any questions or want to see more tutorials.

 


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