roop-unleashed

Uncensored Deepfakes for images and videos without training and an easy-to-use GUI.

Features

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
Optional Face 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

Installation

Please refer to the Wiki.

Usage

Windows: run the windows_run.bat from the Installer.
Linux: python run.py

Additional commandline arguments are currently unsupported and settings should be done via the UI.

Note: When you run this program for the first time, it will download some models roughly ~2Gb in size.

Changelog

22.03.2024 v3.6.5

Bugfix: Installer pulling latest update on first installation
Bugfix: Regression issue, blurring/erosion missing from face swap
Exposed erosion and blur amounts to UI
Using same values for manual masking too

20.03.2024 v3.6.3

Bugfix: Workaround for Gradio Slider Change Bug
Bugfix: CSS Styling to fix Gradio Image Height Bug
Made face swapping mask offsets resolution independant
Show offset mask as overlay
Changed layout for masking

18.03.2024 v3.6.0

Updated to Gradio 4.21.0 - requiring many changes under the hood
New manual masking (draw the mask yourself)
Extras Tab, streamlined cutting/joining videos
Re-added face selection by gender (on-demand loading, default turned off)
Removed unnecessary activate live-cam option
Added time info to preview frame and changed frame slider event to allow faster changes

10.03.2024 v3.5.5

Bugfix: Installer Path Env
Bugfix: file attributes
Video processing checks for presence of ffmpeg and displays warning if not found
Removed gender + age detection to speed up processing. Option removed from UI
Replaced restoreformer with restoreformer++
Live Cam recoded to run separate from virtual cam and without blocking controls
Swapping with only 1 target face allows selecting from several input faces

08.01.2024 v3.5.0

Bugfix: wrong access options when creating folders
New auto rotation of horizontal faces, fixing bad landmark positions (expanded on )
Simple VR Option for stereo Images/Movies, best used in selected face mode
Added RestoreFormer Enhancer - https://github.com/wzhouxiff/RestoreFormer
Bumped up package versions for onnx/Torch etc.

16.10.2023 v3.3.4

11.8.2023 v2.7.0

Initial Gradio Version - old TkInter Version now deprecated

Re-added unified padding to face enhancers
Fixed DMDNet for all resolutions
Selecting target face now automatically switches swapping mode to selected
GPU providers are correctly set using the GUI (needs restart currently)
Local output folder can be opened from page
Unfinished extras functions disabled for now
Installer checks out specific commit, allowing to go back to first install
Updated readme for new gradio version
Updated Colab

Acknowledgements

Lots of ideas, code or pre-trained models used from the following projects:

https://github.com/deepinsight/insightface
https://github.com/s0md3v/roop
https://github.com/AUTOMATIC1111/stable-diffusion-webui
https://github.com/Hillobar/Rope
https://github.com/janvarev/chain-img-processor
https://github.com/TencentARC/GFPGAN

https://github.com/kadirnar/codeformer-pip
https://github.com/csxmli2016/DMDNet

Thanks to all developers!