DeepFaceLab_Linux

T

Claudio Sánchez 8cda581d2c fix "no training data provided" (#69 )

* Update 6_train_Quick96.sh

Fix "no training data provided"

* Update 6_train_SAEHD.sh

fix "no training data provided"

2023-01-24 13:27:17 +03:00

scripts

fix "no training data provided" (#69 )

2023-01-24 13:27:17 +03:00

README.md

While the conda does not have new CUDNN and cudatoolkit packages, we use packages for version 2.3. fix #24

2020-12-31 15:18:00 +05:00

README.md

Using

1. Install Anaconda

Anaconda is the preferred method of installing DeepFaceLab on Linux. Just follow the tutorial.

2. Install System Dependencies

You will need FFMpeg, Git, and the most recent NVIDIA driver for your system to use this project.

If you are here, then you already have everything...

3. Install DeepFaceLab

Just run it in the terminal.

Check latest cudnn and cudatoolkit version for your GPU device.

 conda create -n deepfacelab -c main python=3.7 cudnn=7.6.5 cudatoolkit=10.1.243
 conda activate deepfacelab
 git clone --depth 1 https://github.com/nagadit/DeepFaceLab_Linux.git
 cd DeepFaceLab_Linux
 git clone --depth 1 https://github.com/iperov/DeepFaceLab.git
 python -m pip install -r ./DeepFaceLab/requirements-cuda.txt

4. Download Pretrain (optional)

Use script 4.1 from the scripts directory.

Or download manually

CelebA

FFHQ

Quick96

5. Navigate to the scripts directory and begin using DeepFaceLab_Linux ᗡ:

Run all scripts with BASH shell

bash 1_clear_workspace.sh

etc