update README.md

Add new scripts download pretrains.

fix path in env.sh
This commit is contained in:
Alex
2020-09-19 03:20:21 +03:00
parent 86e7ec7df1
commit 1e462d454e
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### New readme coming soon
## Using
### 1. Install Anaconda
Anaconda is the preferred method of installing DeepFaceLab on Linux.
[Just follow the tutorial](https://docs.conda.io/projects/conda/en/latest/user-guide/install).
### 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.
```bash
conda create -n deepfacelab -c main python=3.7 cudnn=7.6.5 cudatoolkit=10.0.130
conda activate deepfacelab
git clone https://github.com/nagadit/DeepFaceLab_Linux.git
cd DeepFaceLab_Linux
git clone 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](https://github.com/nagadit/DeepFaceLab_Linux/releases/download/1.0/pretrain_CelebA.zip)
[FFHQ](https://github.com/nagadit/DeepFaceLab_Linux/releases/download/1.0/pretrain_FFHQ.zip)
[Quick96](https://github.com/nagadit/DeepFaceLab_Linux/releases/download/1.0/pretrain_Quick96.zip)
## 5. Navigate to the scripts directory and begin using DeepFaceLab_Linux ᗡ:
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#!/usr/bin/env bash
source env.sh
wget https://github.com/nagadit/DeepFaceLab_Linux/releases/download/1.0/pretrain_CelebA.zip
unzip -q pretrain_CelebA.zip -d "$DFL_SRC"
rm pretrain_CelebA.zip
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#!/usr/bin/env bash
source env.sh
wget https://github.com/nagadit/DeepFaceLab_Linux/releases/download/1.0/pretrain_FFHQ.zip
unzip -q pretrain_FFHQ.zip -d "$DFL_SRC"
rm pretrain_FFHQ.zip
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#!/usr/bin/env bash
source env.sh
wget https://github.com/nagadit/DeepFaceLab_Linux/releases/download/1.0/pretrain_Quick96.zip
unzip -q pretrain_Quick96.zip -d "$DFL_SRC"
rm pretrain_Quick96.zip
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#!/usr/bin/env bash
conda activate deepfacelab
cd ..
export DFL_PYTHON="python3.6"
export DFL_WORKSPACE="workspace/"