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title: roop-unleashed
app_file: run.py
sdk: gradio
sdk_version: 3.44.2
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
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!