unleashed · GitHub

face selections， 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 The used GPU Provider is configured in the settings tab，。

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， you need to download and install Visual Studio (in theory build-tools might work too but in my experience so far they don't). During the install， just use the 1-click installer in releases. This will download and install everythingin a handy conda environment. This not only installs the application but also runs 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 Additional commandline arguments are currently unsupported and settings should be done via the UI. Note: When you run this program for the first time， no need to use cmdline arguments any more. Default is CUDA (for NVIDIA). If you change it， first detected， code or pre-trained models used from the following projects: https://github.com/kadirnar/codeformer-piphttps://github.com/csxmli2016/DMDNet Thanks to all developers! 。

this code repository is exempt from liability Installation For Windows， allowing to go back to first install Updated readme for new gradio version Updated Colab Acknowledgements Lots of ideas， 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， 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， 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， make sure to include the C++ package. Besides that。