InvokeAI/docs/index.md

title
Home

^^InvokeAI: A Stable Diffusion Toolkit^^ :tools:
Formerly known as lstein/stable-diffusion

InvokeAI is an implementation of Stable Diffusion, the open source text-to-image and image-to-image generator. It provides a streamlined process with various new features and options to aid the image generation process. It runs on Windows, Mac and Linux machines, and runs on GPU cards with as little as 4 GB or RAM.

Quick links: [Discord Server] [Code and Downloads] [Bug Reports] [Discussion, Ideas & Q&A]

!!! note

This fork is rapidly evolving. Please use the [Issues tab](https://github.com/invoke-ai/InvokeAI/issues) to report bugs and make feature requests. Be sure to use the provided templates. They will help aid diagnose issues faster.

:octicons-package-dependencies-24: 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).

First time users, please see Automated Installer for a walkthrough of getting InvokeAI up and running on your system. For alternative installation and upgrade instructions, please see: InvokeAI Installation Overview

Linux users who wish to make use of the PyPatchMatch inpainting functions will need to perform a bit of extra work to enable this module. Instructions can be found at Installing PyPatchMatch.

: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.

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

:fontawesome-solid-memory: Memory

• At least 12 GB Main Memory RAM.

:fontawesome-regular-hard-drive: Disk

• At least 18 GB of free disk space for the machine learning model, Python, and all its dependencies.

!!! info

Precision is auto configured based on the device. If however you encounter errors like
`expected type Float but found Half` or `not implemented for Half` you can try starting
`invoke.py` with the `--precision=float32` flag:

```bash
(invokeai) ~/InvokeAI$ python scripts/invoke.py --full_precision
```

:octicons-gift-24: InvokeAI Features

• The InvokeAI Web Interface
  • WebGUI hotkey reference guide
  • WebGUI Unified Canvas for Img2Img, inpainting and outpainting

• The Command Line Interace
  • Image2Image
  • Inpainting
  • Outpainting
  • Adding custom styles and subjects
  • Upscaling and Face Reconstruction

• Generating Variations

• Prompt Engineering

• Miscellaneous
  • NSFW Checker
  • Embiggen upscaling
  • Other

:octicons-log-16: Latest Changes

v2.1.3 (13 November 2022)

• A choice of installer scripts that automate installation and configuration. See Installation.
• A streamlined manual installation process that works for both Conda and PIP-only installs. See Manual Installation.
• The ability to save frequently-used startup options (model to load, steps, sampler, etc) in a .invokeai file. See Client
• Support for AMD GPU cards (non-CUDA) on Linux machines.
• Multiple bugs and edge cases squashed.

v2.1.0 (2 November 2022)

• Inpainting support in the WebGUI
• Greatly improved navigation and user experience in the WebGUI
• The prompt syntax has been enhanced with prompt weighting, cross-attention and prompt merging.
• You can now load multiple models and switch among them quickly without leaving the CLI.
• The installation process (via scripts/configure_invokeai.py) now lets you select among several popular Stable Diffusion models and downloads and installs them on your behalf. Among other models, this script will install the current Stable Diffusion 1.5 model as well as a StabilityAI variable autoencoder (VAE) which improves face generation.
• Tired of struggling with photoeditors to get the masked region of for inpainting just right? Let the AI make the mask for you using text masking. This feature allows you to specify the part of the image to paint over using just English-language phrases.
• Tired of seeing the head of your subjects cropped off? Uncrop them in the CLI with the outcrop feature.
• Tired of seeing your subject's bodies duplicated or mangled when generating larger-dimension images? Check out the --hires option in the CLI, or select the corresponding toggle in the WebGUI.
• We now support textual inversion and fine-tune .bin styles and subjects from the Hugging Face archive of SD Concepts. Load the .bin file using the --embedding_path option. (The next version will support merging and loading of multiple simultaneous models).
• ...

v2.0.1 (13 October 2022)

• fix noisy images at high step count when using k* samplers
• dream.py script now calls invoke.py module directly rather than via a new python process (which could break the environment)

v2.0.0 (9 October 2022)

• dream.py script renamed invoke.py. A dream.py script wrapper remains for backward compatibility.
• Completely new WebGUI - launch with python3 scripts/invoke.py --web
• Support for inpainting and outpainting
• img2img runs on all k* samplers
• Support for negative prompts
• Support for CodeFormer face reconstruction
• Support for Textual Inversion on Macintoshes
• Support in both WebGUI and CLI for post-processing of previously-generated images using facial reconstruction, ESRGAN upscaling, outcropping (similar to DALL-E infinite canvas), and "embiggen" upscaling. See the !fix command.
• New --hires option on invoke> line allows larger images to be created without duplicating elements, at the cost of some performance.
• New --perlin and --threshold options allow you to add and control variation during image generation (see Thresholding and Perlin Noise Initialization
• Extensive metadata now written into PNG files, allowing reliable regeneration of images and tweaking of previous settings.
• Command-line completion in invoke.py now works on Windows, Linux and Mac platforms.
• Improved command-line completion behavior. New commands added:
  • List command-line history with !history
  • Search command-line history with !search
  • Clear history with !clear
• Deprecated --full_precision / -F. Simply omit it and invoke.py will auto configure. To switch away from auto use the new flag like --precision=float32.

For older changelogs, please visit the CHANGELOG.

:material-target: Troubleshooting

Please check out our :material-frequently-asked-questions: Q&A to get solutions for common installation problems and other issues.

:octicons-repo-push-24: 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. 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, but for now the most important thing is to make your pull request against the "development" branch, and not against "main". This will help keep public breakage to a minimum and will allow you to propose more radical changes.

:octicons-person-24: 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.

:octicons-question-24: Support

For support, please use this repository's GitHub Issues tracking service. Feel free to send me an email if you use and like the script.

Original portions of the software are Copyright (c) 2020 Lincoln D. Stein

:octicons-book-24: Further Reading

Please see the original README for more information on this software and underlying algorithm, located in the file README-CompViz.md.