Future Roop

Prerequisites

• Python: python 3.10.6 (added to path)
• Desktop Development with C++: This can be installed via Visual Studio Installer to ensure compatibility with the necessary packages.
• Microsoft Visual C++ Redistributable: Download and install the Microsoft Visual C++ Redistributable from the link below:
• Microsoft Visual C++ Redistributable (x64)
• ffmpeg (added to path)

• at this moment i'm using torch 2.6.0 (with cuda 12.6 and cudnn inside)

Step-by-Step Installation

1. Install Desktop Development with C++

   • Open Visual Studio Installer.
   • Install the Desktop Development with C++ workload to ensure compatibility with the required C++ components for packages like ONNX and InsightFace.

CMD to your install folder

• git clone https://github.com/DJHanceNL/Future-Roop.git
• cd Future-Roop
• python -m venv env
• env\Scripts\activate
• python.exe -m pip install --upgrade pip
• python -m pip install -r requirements.txt
• python run.py

backup model folder

https://drive.google.com/file/d/1KJEkPCrZ1Ow9jAw43QBhL3tmL7MpqFw9/view?usp=drive_link

Features

how to use my AMD gpu with directML

close app

go inside future-roop folder with terminal

and get inside the venv:

env\Scripts\activate

pip uninstall torch torchvision onnxruntime-gpu onnxruntime pip install onnxruntime-directml pip install torch-directml

python run.py

it will run cpu only, you can see in terminal:

Using provider ['CPUExecutionProvider'] - Device:cpu

go to settings and change cpu to DML, save settings. go to terminal and ctrl+c to close future roop.

and then restart

python run.py

now it should say:

Using provider ['DmlExecutionProvider'] - Device:cpu

Gradio error solve:

TypeError: argument of type 'bool' is not iterable Exception When localhost is not accessible, a shareable link must be created. Please set share=True or check your proxy settings to allow access to localhost. when launching Gradio Server! Closing server running on port: 7860

go inside future-roop folder with terminal

and get inside the venv:

env\Scripts\activate

and update gradio

pip install gradio -U

• Platform-independant Browser GUI
• Selection of multiple input/output faces in one go
• Many different swapping modes, first detected, face selections, by gender
• Batch processing of images/videos
• Masking of face occluders using text prompts or automatically
• Optional Face Upscaler/Restoration using different enhancers
• Preview swapping from different video frames
• Live Fake Cam using your webcam
• Extras Tab for cutting videos etc.
• Settings - storing configuration for next session
• Theme Support

and lots more...

Disclaimer

This project is for technical and academic use only. Users of this software are expected to use this software responsibly while abiding the local law. If a 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. Please do not apply it to illegal and unethical scenarios.

In the event of violation of the legal and ethical requirements of the user's country or region, this code repository is exempt from liability

Changelog

03.02.2025 v0.0.3

Just the original

Acknowledgements

Lots of ideas, code or pre-trained models borrowed