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fix formatting in INSTALL.md

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docs/installation/INSTALL.md
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@ -9,50 +9,49 @@ experience and preferences.
1. [1-click installer](INSTALL_1CLICK.md)
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) or `invoke.bat` (Windows), and perform
updates using `update.sh` and `update.bat`.
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) or `invoke.bat` (Windows), and perform
updates using `update.sh` and `update.bat`.
2. [Pre-compiled PIP installer](INSTALL_PCP.md)
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 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` and `pip` tools.
This method is recommended for users with a bit of experience using
the `git` and `pip` tools.
3. [Manual Installation](INSTALL_MANUAL.md)
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 prefer
`pip` and Python virtual environments.
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 prefer
`pip` and Python virtual environments.
This method is recommended for users who have previously used `conda`
or `pip` 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.
This method is recommended for users who have previously used `conda`
or `pip` 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.
4. [Docker Installation](INSTALL_DOCKER.md)
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.
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.
5. [Jupyter Notebooks Installation](INSTALL_JUPYTER.md)
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.
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.