Invoke AI - Generative AI for Professional Creatives

Professional Creative Tools for Stable Diffusion, Custom-Trained Models, and more.

To learn more about Invoke AI, get started instantly, or implement our Business solutions, visit invoke.ai

Note: This is an alpha release. Bugs are expected and not all features are fully implemented. Please use the GitHub Issues pages to report unexpected problems. Also note that InvokeAI root directory which contains models, outputs and configuration files, has changed between the 2.x and 3.x release. If you wish to use your v2.3 root directory with v3.0, please follow the directions in Migrating a 2.3 root directory to 3.0.

InvokeAI is a leading creative engine built to empower professionals and enthusiasts alike. Generate and create stunning visual media using the latest AI-driven technologies. InvokeAI offers an industry leading Web Interface, interactive Command Line Interface, and also serves as the foundation for multiple commercial products.

Quick links: [How to Install] [Discord Server] [Documentation and Tutorials] [Code and Downloads] [Bug Reports] [Discussion, Ideas & Q&A]

Table of Contents 📝

Getting Started

🏁 Quick Start
🖥️ Hardware Requirements

More About Invoke

🌟 Features
📣 Latest Changes
🛠️ Troubleshooting

Supporting the Project

🤝 Contributing
👥 Contributors
💕 Support

Quick Start

For full installation and upgrade instructions, please see: InvokeAI Installation Overview

If upgrading from version 2.3, please read Migrating a 2.3 root directory to 3.0 first.

Automatic Installer (suggested for 1st time users)

Go to the bottom of the Latest Release Page
Download the .zip file for your OS (Windows/macOS/Linux).
Unzip the file.
Windows: double-click on the install.bat script. macOS: Open a Terminal window, drag the file install.sh from Finder into the Terminal, and press return. Linux: run install.sh.
You'll be asked to confirm the location of the folder in which to install InvokeAI and its image generation model files. Pick a location with at least 15 GB of free memory. More if you plan on installing lots of models.
Wait while the installer does its thing. After installing the software, the installer will launch a script that lets you configure InvokeAI and select a set of starting image generation models.
Find the folder that InvokeAI was installed into (it is not the same as the unpacked zip file directory!) The default location of this folder (if you didn't change it in step 5) is ~/invokeai on Linux/Mac systems, and C:\Users\YourName\invokeai on Windows. This directory will contain launcher scripts named invoke.sh and invoke.bat.
On Windows systems, double-click on the invoke.bat file. On macOS, open a Terminal window, drag invoke.sh from the folder into the Terminal, and press return. On Linux, run invoke.sh
Press 2 to open the "browser-based UI", press enter/return, wait a minute or two for Stable Diffusion to start up, then open your browser and go to http://localhost:9090.
Type banana sushi in the box on the top left and click Invoke

Command-Line Installation (for developers and users familiar with Terminals)

You must have Python 3.9 or 3.10 installed on your machine. Earlier or later versions are not supported. Node.js also needs to be installed along with yarn (can be installed with the command npm install -g yarn if needed)

Open a command-line window on your machine. The PowerShell is recommended for Windows.
Create a directory to install InvokeAI into. You'll need at least 15 GB of free space:
```
mkdir invokeai
```
Create a virtual environment named .venv inside this directory and activate it:
```
cd invokeai
python -m venv .venv --prompt InvokeAI
```
Activate the virtual environment (do it every time you run InvokeAI)

For Linux/Mac users:
```
source .venv/bin/activate
```
For Windows users:
```
.venv\Scripts\activate
```

Install the InvokeAI module and its dependencies. Choose the command suited for your platform & GPU.

For Windows/Linux with an NVIDIA GPU:

pip install "InvokeAI[xformers]" --use-pep517 --extra-index-url https://download.pytorch.org/whl/cu117

For Linux with an AMD GPU:

pip install InvokeAI --use-pep517 --extra-index-url https://download.pytorch.org/whl/rocm5.4.2

For non-GPU systems:

pip install InvokeAI --use-pep517 --extra-index-url https://download.pytorch.org/whl/cpu

For Macintoshes, either Intel or M1/M2:

pip install InvokeAI --use-pep517

Configure InvokeAI and install a starting set of image generation models (you only need to do this once):
```
invokeai-configure
```
Launch the web server (do it every time you run InvokeAI):
```
invokeai-web
```
Build Node.js assets

cd invokeai/frontend/web/
yarn vite build

Point your browser to http://localhost:9090 to bring up the web interface.
Type banana sushi in the box on the top left and click Invoke.

Be sure to activate the virtual environment each time before re-launching InvokeAI, using source .venv/bin/activate or .venv\Scripts\activate.

Detailed Installation Instructions

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). For full installation and upgrade instructions, please see: InvokeAI Installation Overview

Migrating a v2.3 InvokeAI root directory

The InvokeAI root directory is where the InvokeAI startup file, installed models, and generated images are stored. It is ordinarily named invokeai and located in your home directory. The contents and layout of this directory has changed between versions 2.3 and 3.0 and cannot be used directly.

We currently recommend that you use the installer to create a new root directory named differently from the 2.3 one, e.g. invokeai-3 and then use a migration script to copy your 2.3 models into the new location. However, if you choose, you can upgrade this directory in place. This section gives both recipes.

Creating a new root directory and migrating old models

This is the safer recipe because it leaves your old root directory in place to fall back on.

Follow the instructions above to create and install InvokeAI in a directory that has a different name from the 2.3 invokeai directory. In this example, we will use "invokeai-3"
When you are prompted to select models to install, select a minimal set of models, such as stable-diffusion-v1.5 only.
After installation is complete launch invokeai.sh (Linux/Mac) or invokeai.bat and select option 8 "Open the developers console". This will take you to the command line.
Issue the command invokeai-migrate3 --from /path/to/v2.3-root --to /path/to/invokeai-3-root. Provide the correct --from and --to paths for your v2.3 and v3.0 root directories respectively.

This will copy and convert your old models from 2.3 format to 3.0 format and create a new models directory in the 3.0 directory. The old models directory (which contains the models selected at install time) will be renamed models.orig and can be deleted once you have confirmed that the migration was successful.

Migrating in place

For the adventurous, you may do an in-place upgrade from 2.3 to 3.0 without touching the command line. The recipe is as follows>

Launch the InvokeAI launcher script in your current v2.3 root directory.
Select option [9] "Update InvokeAI" to bring up the updater dialog.

3a. During the alpha release phase, select option [3] and manually enter the tag name v3.0.0+a2.

3b. Once 3.0 is released, select option [1] to upgrade to the latest release.

Once the upgrade is finished you will be returned to the launcher menu. Select option [7] "Re-run the configure script to fix a broken install or to complete a major upgrade".

This will run the configure script against the v2.3 directory and update it to the 3.0 format. The following files will be replaced:

The invokeai.init file, replaced by invokeai.yaml
The models directory
The configs/models.yaml model index

The original versions of these files will be saved with the suffix ".orig" appended to the end. Once you have confirmed that the upgrade worked, you can safely remove these files. Alternatively you can restore a working v2.3 directory by removing the new files and restoring the ".orig" files' original names.

Migration Caveats

The migration script will migrate your invokeai settings and models, including textual inversion models, LoRAs and merges that you may have installed previously. However it does not migrate the generated images stored in your 2.3-format outputs directory. The released version of 3.0 is expected to have an interface for importing an entire directory of image files as a batch.

Hardware Requirements

InvokeAI is supported across Linux, Windows and macOS. Linux users can use either an Nvidia-based card (with CUDA support) or an AMD card (using the ROCm driver).

System

You will need one of the following:

An NVIDIA-based graphics card with 4 GB or more VRAM memory.
An Apple computer with an M1 chip.
An AMD-based graphics card with 4GB or more VRAM memory. (Linux only)

We do not recommend the GTX 1650 or 1660 series video cards. They are unable to run in half-precision mode and do not have sufficient VRAM to render 512x512 images.

Memory - At least 12 GB Main Memory RAM.

Disk - At least 12 GB of free disk space for the machine learning model, Python, and all its dependencies.

Features

Feature documentation can be reviewed by navigating to the InvokeAI Documentation page

Web Server & UI

InvokeAI offers a locally hosted Web Server & React Frontend, with an industry leading user experience. The Web-based UI allows for simple and intuitive workflows, and is responsive for use on mobile devices and tablets accessing the web server.

Unified Canvas

The Unified Canvas is a fully integrated canvas implementation with support for all core generation capabilities, in/outpainting, brush tools, and more. This creative tool unlocks the capability for artists to create with AI as a creative collaborator, and can be used to augment AI-generated imagery, sketches, photography, renders, and more.

Node Architecture & Editor (Beta)

Invoke AI's backend is built on a graph-based execution architecture. This allows for customizable generation pipelines to be developed by professional users looking to create specific workflows to support their production use-cases, and will be extended in the future with additional capabilities.

Board & Gallery Management

Invoke AI provides an organized gallery system for easily storing, accessing, and remixing your content in the Invoke workspace. Images can be dragged/dropped onto any Image-base UI element in the application, and rich metadata within the Image allows for easy recall of key prompts or settings used in your workflow.

Other features

Support for both ckpt and diffusers models
SD 2.0, 2.1 support
Upscaling Tools
Embedding Manager & Support
Model Manager & Support
Node-Based Architecture
Node-Based Plug-&-Play UI (Beta)
SDXL Support (Coming soon)

Latest Changes

For our latest changes, view our Release Notes and the CHANGELOG.

Troubleshooting

Please check out our Q&A to get solutions for common installation problems and other issues.

Contributing

Anyone who wishes to contribute to this project, whether documentation, features, bug fixes, code cleanup, testing, or code reviews, is very much encouraged to do so.

To join, just raise your hand on the InvokeAI Discord server (#dev-chat) or the GitHub discussion board.

If you'd like to help with translation, please see our translation guide.

If you are unfamiliar with how to contribute to GitHub projects, here is a Getting Started Guide. A full set of contribution guidelines, along with templates, are in progress. You can make your pull request against the "main" branch.

We hope you enjoy using our software as much as we enjoy creating it, and we hope that some of those of you who are reading this will elect to become part of our community.

Welcome to InvokeAI!

Contributors

This fork is a combined effort of various people from across the world. Check out the list of all these amazing people. We thank them for their time, hard work and effort.

Support

For support, please use this repository's GitHub Issues tracking service, or join the Discord.

fiveNinePlusR/InvokeAI