This project provides scripts inspired by [DeepFaceLab_MacOS]https://github.com/chychkan/DeepFaceLab_MacOS.git DeepFaceLab_Linux to setup and run DeepFaceLab on MacOS.
You'll need brew, git, ffmpeg,conda available to be able to execute these scripts. The scripts will create a virtual env sandbox and will install all necessary dependencies there, so your main installation of python3 will be left intact.
--Currently there's limited support for Apple M1/M2. You can do model training, but the XSeg editor currently does not work (the DeepFaceLab codebase is not compatible with PyQt6). -- Install PyQT5 from conda should work.
Tools
For Apple M1 laptops you also need hdf5 lib installed.
Check if you have it with brew ls --versions hdf5. Install it with brew install hdf5.
Current version must match h5py or an error will raise.
brew install hdf5@1.12
brew can be install in macOS terminal by this command: /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
Clone and setup
- Clone this repository (
git clone https://github.com/chychkan/DeepFaceLab_MacOS.git) - Run script
./scripts/0_setup.shto get DeepFaceLab, create virtual env and install necessary Python dependencies. This may take several minutes to run.
Now you can put your data_src.mp4 and data_dst.mp4 files into the workspace/ dir and start running scripts from the scripts/ dir.
See DeepFaceLab project for links to guides and tutorials.