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Installation Overview |
Installation
We offer several ways to install InvokeAI, each one suited to your experience and preferences.
-
This is an automated shell script that will handle installation of all dependencies for you, and is recommended for those who have limited or no experience with the Python programming language, are not currently interested in contributing to the project, and just want the thing to install and run. In this version, you interact with the web server and command-line clients through a shell script named
invoke.sh
(Linux/Mac) orinvoke.bat
(Windows), and perform updates usingupdate.sh
andupdate.bat
. -
This is a series of installer files for which all the requirements for InvokeAI have been precompiled, thereby preventing the conflicts that sometimes occur when an external library is changed unexpectedly. It will leave you with an environment in which you interact directly with the scripts for running the web and command line clients, and you will update to new versions using standard developer commands.
This method is recommended for users with a bit of experience using the
git
andpip
tools. -
In this method you will manually run the commands needed to install InvokeAI and its dependencies. We offer two recipes: one suited to those who prefer the
conda
tool, and one suited to those who preferpip
and Python virtual environments.This method is recommended for users who have previously used
conda
orpip
in the past, developers, and anyone who wishes to remain on the cutting edge of future InvokeAI development and is willing to put up with occasional glitches and breakage. -
We also offer a method for creating Docker containers containing InvokeAI and its dependencies. This method is recommended for individuals with experience with Docker containers and understand the pluses and minuses of a container-based install.
-
Jupyter Notebooks Installation
This method is suitable for running InvokeAI on a Google Colab account. It is recommended for individuals who have previously worked on the Colab and are comfortable with the Jupyter notebook environment.