update README.md
Add new scripts download pretrains. fix path in env.sh
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### New readme coming soon
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## Using
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### 1. Install Anaconda
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Anaconda is the preferred method of installing DeepFaceLab on Linux.
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[Just follow the tutorial](https://docs.conda.io/projects/conda/en/latest/user-guide/install).
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### 2. Install System Dependencies
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You will need FFMpeg, Git, and the most recent NVIDIA driver for your system to use this project.
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If you are here, then you already have everything...
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### 3. Install DeepFaceLab
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Just run it in the terminal.
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```bash
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conda create -n deepfacelab -c main python=3.7 cudnn=7.6.5 cudatoolkit=10.0.130
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conda activate deepfacelab
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git clone https://github.com/nagadit/DeepFaceLab_Linux.git
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cd DeepFaceLab_Linux
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git clone https://github.com/iperov/DeepFaceLab.git
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python -m pip install -r ./DeepFaceLab/requirements-cuda.txt
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```
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## 4. Download Pretrain (optional)
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Use script 4.1 from the scripts directory.
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Or download manually
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[CelebA](https://github.com/nagadit/DeepFaceLab_Linux/releases/download/1.0/pretrain_CelebA.zip)
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[FFHQ](https://github.com/nagadit/DeepFaceLab_Linux/releases/download/1.0/pretrain_FFHQ.zip)
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[Quick96](https://github.com/nagadit/DeepFaceLab_Linux/releases/download/1.0/pretrain_Quick96.zip)
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## 5. Navigate to the scripts directory and begin using DeepFaceLab_Linux ᗡ:
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#!/usr/bin/env bash
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source env.sh
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wget https://github.com/nagadit/DeepFaceLab_Linux/releases/download/1.0/pretrain_CelebA.zip
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unzip -q pretrain_CelebA.zip -d "$DFL_SRC"
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rm pretrain_CelebA.zip
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#!/usr/bin/env bash
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source env.sh
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wget https://github.com/nagadit/DeepFaceLab_Linux/releases/download/1.0/pretrain_FFHQ.zip
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unzip -q pretrain_FFHQ.zip -d "$DFL_SRC"
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rm pretrain_FFHQ.zip
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#!/usr/bin/env bash
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source env.sh
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wget https://github.com/nagadit/DeepFaceLab_Linux/releases/download/1.0/pretrain_Quick96.zip
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unzip -q pretrain_Quick96.zip -d "$DFL_SRC"
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rm pretrain_Quick96.zip
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#!/usr/bin/env bash
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#!/usr/bin/env bash
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conda activate deepfacelab
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cd ..
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export DFL_PYTHON="python3.6"
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export DFL_PYTHON="python3.6"
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export DFL_WORKSPACE="workspace/"
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export DFL_WORKSPACE="workspace/"
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