|
|
--- |
|
|
license: openrail |
|
|
title: FaceSwa |
|
|
sdk: gradio |
|
|
emoji: 😻 |
|
|
colorFrom: red |
|
|
colorTo: blue |
|
|
app_file: run.py |
|
|
--- |
|
|
# roop-unleashed |
|
|
|
|
|
[Changelog](#changelog) • [Installation](#installation) • [Usage](#usage) • [Example](#example) • [FAQ](#faq) |
|
|
|
|
|
|
|
|
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 |
|
|
|
|
|
> For Windows, you need to download and install [Visual Studio](https://visualstudio.microsoft.com/de/downloads/) (in theory build-tools might work too but in my experience so far they don't). During the install, make sure to include the C++ package. |
|
|
|
|
|
Besides that, just use the 1-click installer in releases. This will download and install everything |
|
|
in a handy conda environment. This not only installs the application but also runs it, once installed. |
|
|
|
|
|
For other OS or if you know what you're doing: |
|
|
|
|
|
- `git clone https://github.com/C0untFloyd/roop-unleashed` |
|
|
- preferably create a venv or conda environment |
|
|
- `cd roop-unleashed` |
|
|
- `pip install -r requirements.txt` |
|
|
|
|
|
Depending on your available GPU there are additional packages you need to install. Here are the instructions from the original roop page: |
|
|
|
|
|
[Using GPU Acceleration](https://github.com/s0md3v/roop/wiki/2.-Acceleration) |
|
|
|
|
|
The used GPU Provider is configured in the settings tab, no need to use cmdline arguments any more. Default is CUDA (for NVIDIA). If you change it, please restart roop-unleashed completely to allow for model reloading. |
|
|
|
|
|
For Video face-swapping you also need to have ffmpeg properly installed (having it in your PATH Env). The windows installer tries to do this automatically. |
|
|
|
|
|
|
|
|
|
|
|
### 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. |
|
|
|
|
|
|
|
|
### Example |
|
|
|
|
|
*Coming soon* |
|
|
|
|
|
|
|
|
|
|
|
### Changelog |
|
|
|
|
|
**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! |
