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| title: roop-unleashed | |
| app_file: run.py | |
| sdk: gradio | |
| sdk_version: 3.44.2 | |
| # roop-unleashed | |
| [Changelog](#changelog) • [Usage](#usage) • [Wiki](https://github.com/C0untFloyd/roop-unleashed/wiki) | |
| 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` | |
| <a target="_blank" href="https://colab.research.google.com/github/C0untFloyd/roop-unleashed/blob/main/roop-unleashed.ipynb"> | |
| <img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/> | |
| </a> | |
| 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! | |