github invoke-ai/InvokeAI v2.3.1+rc1
v.2.3.1-rc1
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We are pleased to announce a bugfix and quality of life update to InvokeAI with the release of version 2.3.1.

  • What's New
  • Installation and Upgrading
  • Getting Help
  • Known Bugs
  • Contributors
  • Detailed Change Log
  • Acknowledgements

What's New in 2.3.1

This is primarily a bugfix release, but it does provide several new features that will improve the user experience.

Enhanced support for model management

InvokeAI now makes it convenient to add, remove and modify models. You can individually import models that are stored on your local system, scan an entire folder and its subfolders for models and import them automatically, and even directly import models from the internet by providing their download URLs. You also have the option of designating a local folder to scan for new models each time InvokeAI is restarted.

There are three ways of accessing the model management features:

  1. From the WebUI, click on the cube to the right of the model selection menu. This will bring up a form that allows you to import models individually from your local disk or scan a directory for models to import.

image

  1. Using the Model Installer App

Choose option (5) download and install models from the invoke launcher script to start a new console-based application for model management. You can use this to select from a curated set of starter models, or import checkpoint, safetensors, and diffusers models from a local disk or the internet. The example below shows importing two checkpoint URLs from popular SD sites and a HuggingFace diffusers model using its Repository ID. It also shows how to designate a folder to be scanned at startup time for new models to import.

Command-line users can start this app using the command invokeai-model-install.

image

  1. Using the Command Line Client (CLI)

The !install_model and !convert_model commands have been enhanced to allow entering of URLs and local directories to scan and import. The first command installs .ckpt and .safetensors files as-is. The second one converts them into the faster diffusers format before installation.

Internally InvokeAI is able to probe the contents of a .ckpt or .safetensors file to distinguish among v1.x, v2.x and inpainting models. This means that you do not need to include "inpaint" in your model names to use an inpainting model. Note that Stable Diffusion v2.x models will be autoconverted into a diffusers model the first time you use it.

Please see INSTALLING MODELS for more information on model management.

An Improved Installer Experience

The installer now launches a console-based UI for setting and changing commonly-used startup options:

image

After selecting the desired options, the installer installs several support models needed by InvokeAI's face reconstruction and upscaling features and then launches the interface for selecting and installing models shown earlier. At any time, you can edit the startup options by launching invoke.sh/invoke.bat and entering option (6) change InvokeAI startup options

Command-line users can launch the new configure app using invokeai-configure.

This release also comes with a renewed updater. To do an update without going through a whole reinstallation, launch invoke.sh or invoke.bat and choose option (9) update InvokeAI . This will bring you to a screen that prompts you to update to the latest released version, to the most current development version, or any released or unreleased version you choose by selecting the tag or branch of the desired version.

image

Command-line users can run this interface by typing invokeai-configure

Image Symmetry Options

There are now features to generate horizontal and vertical symmetry during generation. The way these work is to wait until a selected step in the generation process and then to turn on a mirror image effect. In addition to generating some cool images, you can also use this to make side-by-side comparisons of how an image will look with more or fewer steps. Access this option from the WebUI by selecting Symmetry from the image generation settings, or within the CLI by using the options --h_symmetry_time_pct and --v_symmetry_time_pct (these can be abbreviated to --h_sym and --v_sym like all other options).

image

A New Unified Canvas Look

This release introduces a beta version of the WebUI Unified Canvas. To try it out, open up the settings dialogue in the WebUI (gear icon) and select Use Canvas Beta Layout:

image

Refresh the screen and go to to Unified Canvas (left side of screen, third icon from the top). The new layout is designed to provide more space to work in and to keep the image controls close to the image itself:

image

Model conversion and merging within the WebUI

The WebUI now has an intuitive interface for model merging, as well as for permanent conversion of models from legacy .ckpt/.safetensors formats into diffusers format. These options are also available directly from the invoke.sh/invoke.bat scripts.

Numerous internal bugfixes and performance issues

This releases quashes multiple bugs that were reported in 2.3.0. Major internal changes include upgrading to diffusers 0.13.0, and using the compel library for prompt parsing. See Detailed Change Log for a detailed list of bugs caught and squished.

Summary of InvokeAI command line scripts (all accessible via the launcher menu)

invokeai                               Command line interface
invokeai --web                    Web interface
invokeai-model-install      Model installer with console forms-based front end
invokeai-ti --gui                  Textual inversion, with a console forms-based front end
invokeai-merge --gui         Model merging, with a console forms-based front end
invokeai-configure            Startup configuration; can also be used to reinstall support models
invokeai-update                 InvokeAI software updater

Installation

To install or upgrade to InvokeAI 2.3.1, please download the zip file below, unpack it, and then double-click to launch the script install.sh (Macintosh, Linux) or install.bat (Windows). Alternatively, you can open a command-line window and execute the installation script directly.

InvokeAI-installer-v2.3.1+rc1.zip

If you are upgrading from an earlier version of InvokeAI, run the installer and when it asks you to confirm the location of the invokeai directory, type in the path to the directory you are already using, if not the same as the one selected automatically by the installer. When the installer asks you to confirm that you want to install into an existing directory, simply indicate "yes".

Developers and power users can upgrade to the current version by activating the InvokeAI environment and then using pip install --use-pep517 --upgrade InvokeAI . You may specify a particular version by adding the version number to the command, as in InvokeAI==2.3.1. You can see which versions are available by going to The PyPI InvokeAI Project Page

Last Feature Release on the 2.3.x Branch

This will be the last feature release on the 2.3.x branch. The development team is migrating to a new software architecture called Nodes, which will provide enhanced workflow management features as well as a much easier way for community developers to contribute to the project. We anticipate the transition taking 4-8 weeks (spring 2023). Until that time, we will be releasing bugfixes and other minor updates only.

Known Bugs in 2.3.1

These are known bugs in the release.

  1. The Ancestral DPMSolverMultistepScheduler (k_dpmpp_2a) sampler is not yet implemented for diffusers models and will disappear from the WebUI Sampler menu when a diffusers model is selected. Support will be added in the next diffusers library release.

Help

Please see the InvokeAI Issues Board or the InvokeAI Discord for assistance from the development team.

Contributors

InvokeAI is the product of the loving attention of a large number of Contributors. For this release in particular, we'd like to recognize the combined efforts of @blessedcoolant, who worked tirelessly on the model management interface despite multiple changes in the backend, and Jonathon Pollack (@JPPhoto) for working deep in the bowels of memory management and image generation. Kudos to @damian0815 and Kevin Turner (@keturn) for their improvements on model memory management and prompt parsing, respectively, and many thanks to Matthias Wild (@mauwii) and Eugene Brodsky (@ebr) for their work on package management and installation.

Last but not least, we acknowledge the tireless efforts of Kent Keirsey (@hipsterusername) for his amazing videos, outreach and team management.

What's Changed

New Contributors

Full Changelog: v2.3.0...v.2.3.1-rc1

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