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| title: roop-unleashed |
| app_file: run.py |
| sdk: gradio |
| sdk_version: 3.44.2 |
| --- |
| # roop-unleashed |
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| [Changelog](#changelog) • [Usage](#usage) • [Wiki](https://github.com/C0untFloyd/roop-unleashed/wiki) |
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| Uncensored Deepfakes for images and videos without training and an easy-to-use GUI. |
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| ### Features |
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| - 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 |
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| and lots more... |
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| ## Disclaimer |
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| 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.** |
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| 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 |
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| ### Installation |
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| Please refer to the Wiki. |
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| ### Usage |
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| - Windows: run the `windows_run.bat` from the Installer. |
| - Linux: `python run.py` |
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| <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> |
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| Additional commandline arguments are currently unsupported and settings should be done via the UI. |
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| > Note: When you run this program for the first time, it will download some models roughly ~2Gb in size. |
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| ### Changelog |
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| **16.10.2023** v3.3.4 |
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| **11.8.2023** v2.7.0 |
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| Initial Gradio Version - old TkInter Version now deprecated |
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| - 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 |
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| # Acknowledgements |
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| Lots of ideas, code or pre-trained models used from the following projects: |
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| 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 |
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| Thanks to all developers! |
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