--- title: Overview --- We offer several ways to install InvokeAI, each one suited to your experience and preferences. We suggest that everyone start by reviewing the [hardware](010_INSTALL_AUTOMATED.md#hardware_requirements) and [software](010_INSTALL_AUTOMATED.md#software_requirements) requirements, as they are the same across each install method. Then pick the install method most suitable to your level of experience and needs. See the [troubleshooting section](010_INSTALL_AUTOMATED.md#troubleshooting) of the automated install guide for frequently-encountered installation issues. ## Installation options 1. [Automated Installer](010_INSTALL_AUTOMATED.md) This is a script that will install all of InvokeAI's essential third party libraries and InvokeAI itself. It includes access to a "developer console" which will help us debug problems with you and give you to access experimental features. ✅ This is the recommended option for first time users. 2. [Manual Installation](020_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 our hands the pip install is faster and more reliable, but your mileage may vary. Note that the conda installation method is currently deprecated and will not be supported at some point in the future. 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. 3. [Docker Installation](040_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. ## Quick Guides * [Installing CUDA and ROCm Drivers](./030_INSTALL_CUDA_AND_ROCM.md) * [Installing XFormers](./070_INSTALL_XFORMERS.md) * [Installing PyPatchMatch](./060_INSTALL_PATCHMATCH.md) * [Installing New Models](./050_INSTALLING_MODELS.md)