#!/bin/bash # KoboldAI Easy Deployment Script by Henk717 # read the options TEMP=`getopt -o m:i:p:c:d:a:l:z:g:t:n: --long model:,init:,path:,configname:,download:,aria2:,dloc:7z:git:tar:ngrok: -- "$@"` eval set -- "$TEMP" # extract options and their arguments into variables. while true ; do case "$1" in -m|--model) model=" --model $2" ; shift 2 ;; -i|--init) init=$2 ; shift 2 ;; -p|--path) path=" --path /content/$2" ; shift 2 ;; -c|--configname) configname=" --configname $2" ; shift 2 ;; -n|--ngrok) configname=" --ngrok" ; shift 2 ;; -d|--download) download="$2" ; shift 2 ;; -a|--aria2) aria2="$2" ; shift 2 ;; -l|--dloc) dloc="$2" ; shift 2 ;; -z|--7z) z7="$2" ; shift 2 ;; -t|--tar) tar="$2" ; shift 2 ;; -g|--git) git="$2" ; shift 2 ;; --) shift ; break ;; *) echo "Internal error!" ; exit 1 ;; esac done # Create the Launch function so we can run KoboldAI at different places in the script function launch { #End the script if "--init only" was specified. if [ "$init" == "only" ]; then echo Initialization complete... exit 0 else cd /content/KoboldAI-Client python3 aiserver.py$model$path$configname$ngrok --remote --override_delete --override_rename exit fi } # Don't allow people to mess up their system if [[ ! -d "/content" ]]; then echo You can only use this script on Google Colab echo Use aiserver.py to play KoboldAI locally. echo Check our Readme for Colab links if you wish to play on Colab. exit fi # Redefine the download location if [ "$dloc" == "colab" ]; then dloc="/content" else dloc="/content/drive/MyDrive/KoboldAI/models" fi # Create Folder Structure and Install KoboldAI if [ "$init" != "skip" ]; then if [ -f "/content/installed" ]; then echo KoboldAI already installed... Skipping installation.... cd /content else cd /content if [ ! -z ${git+x} ]; then if [ "$git" == "united" ]; then git clone https://github.com/henk717/KoboldAI-Client fi git clone $git else git clone https://github.com/koboldai/KoboldAI-Client fi mkdir /content/drive/MyDrive/KoboldAI/ mkdir /content/drive/MyDrive/KoboldAI/stories/ mkdir /content/drive/MyDrive/KoboldAI/models/ mkdir /content/drive/MyDrive/KoboldAI/settings/ mkdir /content/drive/MyDrive/KoboldAI/softprompts/ cd /content/KoboldAI-Client rm stories rm -rf stories/ ln -s /content/drive/MyDrive/KoboldAI/stories/ stories ln -s /content/drive/MyDrive/KoboldAI/settings/ settings ln -s /content/drive/MyDrive/KoboldAI/softprompts/ softprompts if [ "$model" == " --model TPUMeshTransformerGPTJ" ]; then pip install -r requirements_mtj.txt else pip install -r requirements.txt fi touch /content/installed fi fi # Models extracted? Then we skip anything beyond this point for faster loading. if [ -f "/content/extracted" ]; then launch fi #Download routine for regular Downloads if [ ! -z ${download+x} ]; then wget -c $download -P $dloc fi #Download routine for Aria2c scripts if [ ! -z ${aria2+x} ]; then apt install aria2 -y curl -L $aria2 | aria2c -c -i- -d$dloc --user-agent=KoboldAI fi #Extract the model with 7z if [ ! -z ${z7+x} ]; then 7z x -o/content/ -aos $dloc/$z7 touch /content/extracted fi #Extract the model in a ZSTD Tar file if [ ! -z ${tar+x} ]; then git clone https://github.com/VE-FORBRYDERNE/pv cd pv ./configure make make install cd .. apt install zstd -y pv $dloc/$tar | tar -I zstd -x touch /content/extracted fi launch