Invoke - Professional Creative AI Tools for Visual Media

To learn more about Invoke, or implement our Business solutions, visit invoke.com

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] [Bug Reports] [Discussion, Ideas & Q&A] [Contributing]

Table of Contents

Table of Contents 📝

Getting Started

1. 🏁 Quick Start
2. 🖥️ Hardware Requirements

More About Invoke

1. 🌟 Features
2. 📣 Latest Changes
3. 🛠️ Troubleshooting

Supporting the Project

1. 🤝 Contributing
2. 👥 Contributors
3. 💕 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)

1. Go to the bottom of the Latest Release Page

2. Download the .zip file for your OS (Windows/macOS/Linux).

3. Unzip the file.

4. 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.

5. 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.

6. 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.

7. 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.

8. 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

9. Press 1 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.

10. 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 3.10 through 3.11 installed on your machine. Earlier or later versions are not supported. Node.js also needs to be installed along with pnpm (can be installed with the command npm install -g pnpm if needed)

1. Open a command-line window on your machine. The PowerShell is recommended for Windows.

2. Create a directory to install InvokeAI into. You'll need at least 15 GB of free space:

   mkdir invokeai
   

3. Create a virtual environment named .venv inside this directory and activate it:

   cd invokeai
   python -m venv .venv --prompt InvokeAI
   

4. 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
   

5. 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/cu121
   

   For Linux with an AMD GPU:

   pip install InvokeAI --use-pep517 --extra-index-url https://download.pytorch.org/whl/rocm5.6
   

   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/M3:

   pip install InvokeAI --use-pep517
   

6. Launch the web server (do it every time you run InvokeAI):

   invokeai-web
   

7. Point your browser to http://localhost:9090 to bring up the web interface.

8. 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

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. 6-8 GB of VRAM is highly recommended for rendering using the Stable Diffusion XL models
• An Apple computer with an M1 chip.
• An AMD-based graphics card with 4GB or more VRAM memory (Linux only), 6-8 GB for XL rendering.

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.

Workflows & Nodes

InvokeAI offers a fully featured workflow management solution, enabling users to combine the power of nodes based workflows with the easy of a UI. This allows for customizable generation pipelines to be developed and shared by users looking to create specific workflows to support their production use-cases.

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
• SD1.5, SD2.0, and SDXL support
• Upscaling Tools
• Embedding Manager & Support
• Model Manager & Support
• Workflow creation & management
• Node-Based Architecture

Latest Changes

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

Troubleshooting / FAQ

Please check out our FAQ to get solutions for common installation problems and other issues. For more help, please join our Discord

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.

Get started with contributing by reading our Contribution documentation, joining the #dev-chat or the GitHub discussion board.

If you are unfamiliar with how to contribute to GitHub projects, we have a new contributor checklist you can follow to get started contributing: New Contributor Checklist.

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.

Original portions of the software are Copyright (c) 2024 by respective contributors.