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| backend | ||
| binary_installer | ||
| configs | ||
| docker-build | ||
| docs | ||
| environments-and-requirements | ||
| frontend | ||
| installer | ||
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| static | ||
| tests | ||
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| CODE_OF_CONDUCT.md | ||
| InvokeAI_Statement_of_Values.md | ||
| LICENSE | ||
| LICENSE-ModelWeights.txt | ||
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| README.md | ||
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| Stable_Diffusion_v1_Model_Card.md | ||
InvokeAI: A Stable Diffusion Toolkit
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]
Note: InvokeAI is rapidly evolving. Please use the Issues tab to report bugs and make feature requests. Be sure to use the provided templates. They will help us diagnose issues faster.
Getting Started with InvokeAI
For full installation and upgrade instructions, please see: InvokeAI Installation Overview
- Go to the bottom of the Latest Release Page
- Download the .zip file for your OS (Windows/macOS/Linux).
- Unzip the file.
- If you are on Windows, double-click on the
install.batscript. On macOS, open a Terminal window, drag the fileinstall.shfrom Finder into the Terminal, and press return. On Linux, runinstall.sh. - Wait a while, until it is done.
- The folder where you ran the installer from will now be filled with lots of files. If you are on Windows, double-click on the
invoke.batfile. On macOS, open a Terminal window, draginvoke.shfrom the folder into the Terminal, and press return. On Linux, runinvoke.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 sushiin the box on the top left and clickInvoke
Table of Contents
- Installation
- Hardware Requirements
- Features
- Latest Changes
- Troubleshooting
- Contributing
- Contributors
- Support
- Further Reading
Installation
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.
- An Apple computer with an M1 chip.
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.
Advanced Prompt Syntax
InvokeAI's advanced prompt syntax allows for token weighting, cross-attention control, and prompt blending, allowing for fine-tuned tweaking of your invocations and exploration of the latent space.
Command Line Interface
For users utilizing a terminal-based environment, or who want to take advantage of CLI features, InvokeAI offers an extensive and actively supported command-line interface that provides the full suite of generation functionality available in the tool.
Other features
- Support for both ckpt and diffusers models
- SD 2.0, 2.1 support
- Noise Control & Tresholding
- Popular Sampler Support
- Upscaling & Face Restoration Tools
- Embedding Manager & Support
- Model Manager & Support
Coming Soon
- Node-Based Architecture & UI
- And more...
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 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.
Original portions of the software are Copyright (c) 2023 by respective contributors.