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# Installation for Ubuntu 16.04
# Universal Installation Method
### Install Anaconda3
Download the installer [https://www.anaconda.com/distribution/#linux](https://www.anaconda.com/distribution/#linux).
Initialize conda for your shell.
```bash
export PATH=~/anaconda3/bin:$PATH
conda init bash
# Restart your shell
```
### Install DeepFaceLab
```bash
conda create -y -n deepfacelab python=3.6.6 cudatoolkit=9.0 cudnn=7.3.1
conda activate deepfacelab
git clone https://github.com/lbfs/DeepFaceLab_Linux.git
cd DeepFaceLab_Linux
python -m pip install -r requirements-cuda.txt
```
# Native Installation Instructions
## Installation for Ubuntu 16.04
An installation script has been created to automatically install all of the required dependencies for Ubuntu 16.04. Clone the repository and run ``ubuntu16.04-cuda9-installer.sh`` from the root directory of DeepFaceLab_Linux.
# Installation for Ubuntu 18.04
## Installation for Ubuntu 18.04
#### Add NVIDIA package repositories
```bash
@ -18,23 +42,6 @@ sudo apt-get install --no-install-recommends nvidia-driver-418
```
**Reboot your system.**
## Easy Method
### Install Anaconda3
Download the installer [https://www.anaconda.com/distribution/#linux](https://www.anaconda.com/distribution/#linux). Install Anaconda3 and choose the defaults. You will also need to add conda to your path so you can complete the final steps.
### Install DeepFaceLab
```bash
conda create -y -n deepfacelab python=3.6.6 cudatoolkit=9.0 cudnn=7.3.1
conda activate deepfacelab
git clone https://github.com/lbfs/DeepFaceLab_Linux.git
cd DeepFaceLab_Linux
python -m pip install -r requirements-cuda.txt
```
## Harder Alternate Method
For this method, we will create an Ubuntu 16.04 container on your system. In order to do this, we will need to install and configure LXD.
```bash
sudo snap install lxd