Updated new user flow

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Millun Atluri
2023-07-27 21:46:39 +10:00
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title: Overview
---
# Overview
We offer several ways to install InvokeAI, each one suited to your
experience and preferences. We suggest that everyone start by
@ -15,6 +13,48 @@ See the [troubleshooting
section](010_INSTALL_AUTOMATED.md#troubleshooting) of the automated
install guide for frequently-encountered installation issues.
This fork is supported across Linux, Windows and Macintosh. Linux users can use
either an Nvidia-based card (with CUDA support) or an AMD card (using the ROCm
driver).
### [Installation Getting Started Guide](installation)
#### **[Automated Installer](010_INSTALL_AUTOMATED.md)**
✅ This is the recommended installation method for first-time users.
#### [Manual Installation](020_INSTALL_MANUAL.md)
This method is recommended for experienced users and developers
#### [Docker Installation](040_INSTALL_DOCKER.md)
This method is recommended for those familiar with running Docker containers
### Other Installation Guides
- [PyPatchMatch](installation/060_INSTALL_PATCHMATCH.md)
- [XFormers](installation/070_INSTALL_XFORMERS.md)
- [CUDA and ROCm Drivers](installation/030_INSTALL_CUDA_AND_ROCM.md)
- [Installing New Models](installation/050_INSTALLING_MODELS.md)
## :fontawesome-solid-computer: Hardware Requirements
### :octicons-cpu-24: System
You wil need one of the following:
- :simple-nvidia: An NVIDIA-based graphics card with 4 GB or more VRAM memory.
- :simple-amd: An AMD-based graphics card with 4 GB or more VRAM memory (Linux
only)
- :fontawesome-brands-apple: An Apple computer with an M1 chip.
### :fontawesome-solid-memory: Memory and Disk
- At least 12 GB Main Memory RAM.
- At least 18 GB of free disk space for the machine learning model, Python, and
all its dependencies.
We do **not recommend** the following video cards due to issues with their
running in half-precision mode and having insufficient VRAM to render 512x512
images in full-precision mode:
- NVIDIA 10xx series cards such as the 1080ti
- GTX 1650 series cards
- GTX 1660 series cards
## Installation options
1. [Automated Installer](010_INSTALL_AUTOMATED.md)