ngardelis
34 lines
1.7 KiB
Markdown
34 lines
1.7 KiB
Markdown
## Intro
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This project provides scripts inspired by [DeepFaceLab_Linux](https://github.com/lbfs/DeepFaceLab_Linux) to setup and run [DeepFaceLab](https://github.com/iperov/DeepFaceLab) on MacOS.
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You'll need `git`, `ffmpeg`, `python3` and python module `virtualenv` 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.
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## NOTE: Apple M1 chip
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Currently there's limited support for Apple M1 laptops. You can do model training, but the XSeg editor currently does not work (the DeepFaceLab codebase is not compatible with PyQt6).
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## Setup
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**Tools**
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Make sure you have installed:
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- [Git](https://git-scm.com/) (check with `git --version`)
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- [FFmpeg](https://ffmpeg.org/) (check with `ffmpeg -version`)
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- [Python 3](https://www.python.org/) (check with `python3 --version`)
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- [Virtualenv](https://github.com/pypa/virtualenv) (check with `virtualenv --version`)
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For **Apple M1** laptops you also need [hdf5](https://formulae.brew.sh/formula/hdf5) lib installed.
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Check if you have it with `brew ls --versions hdf5`. Install it with `brew install hdf5`.
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**Clone and setup**
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1. Clone this repository (`git clone https://github.com/ngardelis/MacOS.git`)
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2. Run script `./scripts/0_setup.sh` to get [DeepFaceLab](https://github.com/iperov/DeepFaceLab), create virtual env and install necessary Python dependencies. This may take several minutes to run.
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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.
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## Tutorials and docs
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See [DeepFaceLab](https://github.com/iperov/DeepFaceLab) project for links to guides and tutorials.
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