mirror of
https://github.com/invoke-ai/InvokeAI
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58 lines
2.3 KiB
Markdown
58 lines
2.3 KiB
Markdown
---
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title: Overview
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---
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We offer several ways to install InvokeAI, each one suited to your
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experience and preferences. We suggest that everyone start by
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reviewing the
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[hardware](010_INSTALL_AUTOMATED.md#hardware_requirements) and
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[software](010_INSTALL_AUTOMATED.md#software_requirements)
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requirements, as they are the same across each install method. Then
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pick the install method most suitable to your level of experience and
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needs.
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See the [troubleshooting
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section](010_INSTALL_AUTOMATED.md#troubleshooting) of the automated
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install guide for frequently-encountered installation issues.
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## Installation options
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1. [Automated Installer](010_INSTALL_AUTOMATED.md)
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This is a script that will install all of InvokeAI's essential
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third party libraries and InvokeAI itself. It includes access to a
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"developer console" which will help us debug problems with you and
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give you to access experimental features.
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✅ This is the recommended option for first time users.
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2. [Manual Installation](020_INSTALL_MANUAL.md)
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In this method you will manually run the commands needed to install
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InvokeAI and its dependencies. We offer two recipes: one suited to
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those who prefer the `conda` tool, and one suited to those who prefer
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`pip` and Python virtual environments. In our hands the pip install
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is faster and more reliable, but your mileage may vary.
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Note that the conda installation method is currently deprecated and
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will not be supported at some point in the future.
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This method is recommended for users who have previously used `conda`
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or `pip` in the past, developers, and anyone who wishes to remain on
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the cutting edge of future InvokeAI development and is willing to put
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up with occasional glitches and breakage.
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3. [Docker Installation](040_INSTALL_DOCKER.md)
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We also offer a method for creating Docker containers containing
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InvokeAI and its dependencies. This method is recommended for
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individuals with experience with Docker containers and understand
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the pluses and minuses of a container-based install.
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## Quick Guides
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* [Installing CUDA and ROCm Drivers](./030_INSTALL_CUDA_AND_ROCM.md)
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* [Installing XFormers](./070_INSTALL_XFORMERS.md)
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* [Installing PyPatchMatch](./060_INSTALL_PATCHMATCH.md)
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* [Installing New Models](./050_INSTALLING_MODELS.md)
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