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Releases

v5.8.1

This release fixes a bug with retry functionality that could result in an endless loop of errors.

Installing and Updating

The new Invoke Launcher is the recommended way to install, update and run Invoke. It takes care of a lot of details for you - like installing the right version of python - and runs Invoke as a desktop application.

Follow the Quick Start guide to get started with the launcher.

If you don’t want to use the launcher, or need a headless install, you can follow the manual install guide.

What’s Changed

Full Changelog: https://github.com/invoke-ai/InvokeAI/compare/v5.8.0…v5.8.1

v5.8.0

This release introduces an upgraded Workflow Library and FLUX Redux support, among other fixes and enhancements.

Workflow Library

We’ve redesigned the Workflow Library to provide a smoother interface for browsing workflows.

  • Larger modal to display workflows in a grid
  • Browse by tag (default workflows only)
  • Search by name/description/tags
  • Opened at works correctly
  • Workflows may have thumbnails

FLUX Redux

This release includes support for FLUX Redux in Workflows and Canvas.

FLUX Redux is an add-on model for FLUX. It works similarly to IP Adapter or an “instant” LoRA, where an input image guides the generation’s style and composition. It can provide some degree of character consistency.

To use it on Canvas, add a Global Reference Image layer and drag a reference image onto the layer - same as you would for IP Adapter - and select the FLUX Redux from the model drop-down.

You can also use it in Regional Guidance layers. Add a Reference Image to the layer and select FLUX Redux from the model drop-down.

Other Changes

  • You may override the min and max constraints for float and integer fields added to the Form Builder. This is useful when fields are set to render as sliders and/or to add guardrails to your form fields.
  • Support for uploading WEBP images. They are converted to PNG after uploading.
  • Improvements to workflow loading, including checks on every load to ensure unsaved changes are not lost.
  • Fixed an issue where workflows were not marked as having unsaved changes when its form was edited.
  • Form Builder text and heading elements render line breaks correctly.
  • Fixed issue where some Form Builder elements didn’t fill their containers correctly.
  • Invalid node fields now display errors in the field’s tooltip.
  • Fixed issue where duplicate edges could be created when re-connecting an existing edge.
  • Focused UI regions are highlight (configurable in Settings, off by default). Thanks @joshistoast!
  • Updated the display names of model-specific nodes and default workflows to include the model. For example, Main Model Loader is now Main Model - SD1.5.
  • Internal changes to custom node loading.
  • Updated translations. Thanks @rikublock @Linos1391 @Harvester62!

Download the models from the Starter Models tab in the Model Manager.

Installing and Updating

The new Invoke Launcher is the recommended way to install, update and run Invoke. It takes care of a lot of details for you - like installing the right version of python - and runs Invoke as a desktop application.

Follow the Quick Start guide to get started with the launcher.

If you don’t want to use the launcher, or need a headless install, you can follow the manual install guide.

What’s Changed

Full Changelog: https://github.com/invoke-ai/InvokeAI/compare/v5.7.2…v5.8.0

v5.7.2

This release adds a setting to reduce peak VRAM usage and improve performance, plus a few other fixes and enhancements.

Memory Management Improvements

By default, Invoke uses pytorch’s own memory allocator to load and manage models in VRAM. CUDA also provides a memory allocator, and on many systems, the CUDA allocator outperforms the pytorch allocator, reducing peak VRAM usage. On some systems, this may improve generation speeds.

You can use the new pytorch_cuda_alloc_conf setting in invokeai.yaml to opt-in to CUDA’s memory allocator:

pytorch_cuda_alloc_conf: "backend:cudaMallocAsync"

If you do not add this setting, Invoke will continue to use the pytorch allocator (same as it always has).

There are other possible configurations you can use for this setting, dictated by pytorch. Refer to the new section in the Low-VRAM mode docs for more information.

Other Changes

  • You may now upload WEBP images to Invoke. They will be converted to PNGs for use within the application. Thanks @keturn!
  • Added “pull bbox” button to the Regional and Global Reference Image layer’s empty state.
  • More conservative estimates for VAE VRAM usage. This aims to reduce the slowdowns and OOMs on the VAE decode step.
  • Fixed “single or collection” field type rendering in the Workflow Editor. This was causing fields like IP Adapter’s images and ControlNet’s control weights from displaying a widget.
  • Fixed the download button in the Workflow Library list, which was downloading the active workflow instead of the workflow for which the button was clicked.
  • Loosened validation for ControlNet begin and end step percentages. Thanks @JPPhoto!
  • Enqueuing a batch (i.e. what happens when you click the Invoke button) is now a non-blocking operation, allowing the app to be more responsive immediately after clicking Invoke. To enable this improvement, we migrated from using a global mutex for DB access with long-lived SQLite cursors to WAL mode with short-lived SQLite cursors. This is expected to afford a minor (likely not noticeable) performance boost in the backend in addition to the responsiveness improvement.
  • Smaller docker builds. Thanks @keturn!
  • Updated translations. Thanks @Harvester62 @Linos1391 @rikublock!

Installing and Updating

The new Invoke Launcher is the recommended way to install, update and run Invoke. It takes care of a lot of details for you - like installing the right version of python - and runs Invoke as a desktop application.

Follow the Quick Start guide to get started with the launcher.

If you don’t want to use the launcher, or need a headless install, you can follow the manual install guide.

What’s Changed

Full Changelog: https://github.com/invoke-ai/InvokeAI/compare/v5.7.1…v5.7.2

v5.7.1

Enhancements

Improved workflow usability

  • Fixed an issue where descriptions were cut off and increasing spacing between node fields in the form builder.
  • Auto-linking was added to headings, text elements, workflow descriptions, and node field descriptions.
  • The workflow menu was restructured by replacing the “New Workflow” button on the left panel with a workflow menu, while the old menu location now serves as a button to open workflow settings.
  • “New Workflow” button was added to the workflow library list for easier access.

Updated Translations Big thanks to @hironow @Ery4z

Fixes

  • Fixed an issue where the Invoke button on the Canvas tab did not display a loading spinner due to the request being reset too early, preventing RTKQ from tracking the loading state.
  • The enqueue request is now awaited before resetting tracking, ensuring proper feedback.
  • Additional logging messages were added to provide consistent JS console logs across tabs.

Installing and Updating

The new Invoke Launcher is the recommended way to install, update and run Invoke. It takes care of a lot of details for you - like installing the right version of python - and runs Invoke as a desktop application.

Follow the Quick Start guide to get started with the launcher.

If you don’t want to use the launcher, or need a headless install, you can follow the manual install guide.

What’s Changed

Full Changelog: https://github.com/invoke-ai/InvokeAI/compare/v5.7.0…v5.7.1

v5.7.0

This release upgrades the Workflow Editor’s Linear View to a more fully-featured Form Builder. It also includes many other fixes and enhancements, including the adoption of @skunkworxdark’s excellent metadata nodes into Invoke’s core nodes.

The launcher has recently been updated to v1.4.1, fixing a minor memory leak.

Form Builder

Nodeologists may now create more sophisticated UIs for their workflows using the Form Builder. This replaces the older Linear View feature.

In addition to Node Fields, you may add Heading, Text, Container and Divider elements to the form. Some form elements are configurable. For example, Containers support row or column layouts, and certain Node Field types can render different UI components.

Here’s a brief demo of the Form Builder, touching on the core functionality:

Your existing workflows with the Linear View fields will automatically be migrated to the new format.

We’ll be iterating on the Form Builder and extending its capabilities in future updates.

Other Changes

@skunkworxdark’s Metadata Nodes ship with Invoke

We are pleased to bring this popular node pack into the core Invoke repo! Thanks to @skunkworxdark for allowing us to adopt these nodes, and for their continued support of the project.

After you update to v5.7.0, if you have the node pack installed as custom nodes, you will see an error when on start up. It’s saying that you already have these nodes installed. Everything should work fine - but you’ll need to delete the node pack to get rid of the error.

Enhancements

  • Increase default VAE tile size to 1024, reducing “grid” artifacts in images generated on the Upscaling tab.
  • Failed or canceled queue items may be retried via the queue tab.
  • Canvas color picker now supports transparency.
  • Canvas color picker shows RGBA values next to it.
  • Minor redesign/improved styles throughout the Workflow Editor.
  • When attempting to load a workflow while you have unsaved changes, a dialog will appear asking to you confirm. Previously it would just load the workflow and you’d lose any unsaved work.
  • When a node has an invalid field, its title will be error-colored.
  • Less ginormous image field component in nodes.
  • Node fields now have editable descriptions.
  • Double-click a node to zoom to it.
  • Click the bullseye icon in a Form Builder node field to zoom to the node.
  • ❗Minor Breaking Change: Board fields now have an Auto option in the drop-down. When set to Auto, the auto-add board will be used for that board field. Auto is the new default. Workflows that previously had None (Uncategorized) selected will now have Auto selected.
  • Add Dynamic Prompts (Random) and Dynamic Prompts (Combinatorial) modes to the String Generator node.
  • Add Image Generator node with Images from Board mode. Select a board and category to run a batch over its images.

Fixes

  • Canvas mouse cursor disappears when certain layer types and tools are selected.
  • Canvas color picker doesn’t work when certain layer types are selected.
  • Sometimes mask layers don’t render until you zoom or pan.
  • When using shift-click to draw a straight line, if the canvas was moved too much between the clicks, the line got cut off.
  • Incorrect node suggestions when dropping an edge into empty space.
  • When loading a workflow with fields that reference unavailable models, the fields were not always reset correctly.
  • If an image collection field referenced images that were deleted, it was impossible to delete them without emptying the whole collection.
  • Lag/stutters in the Add Node popover.
  • When deleting a board and its images, we didn’t check if any of the deleted images were used in an image collection field, potentially leading to errors when attempting to use a nonexistent image.

Internal

  • Upgraded reactflow to v12. This major release provides no new user-facing features, but does feature improved performance.
  • Upgraded @reduxjs/toolkit to latest. A new utility allows for more efficient cache management and yields a minor perf improvement to gallery load times.
  • Numerous performance improvements throughout the workflow editor. Many code paths were revised and components restructured to improve performance. Some CSS transitions were disabled for performance reasons.
  • Substantial performance improvement for batch queuing logic (i.e. the stuff that happens between clicking Invoke and the progress bar starts moving).
  • Improved custom node loading. For each node pack, if an error occurs while loading it, importing of that pack’s nodes will stop and Invoke will skip to the next node pack. This may result in only some nodes from a pack loading, but the app will still run. Previously, any error prevented Invoke from starting up.

Installing and Updating

The new Invoke Launcher is the recommended way to install, update and run Invoke. It takes care of a lot of details for you - like installing the right version of python - and runs Invoke as a desktop application.

Follow the Quick Start guide to get started with the launcher.

If you don’t want to use the launcher, or need a headless install, you can follow the manual install guide.

The launcher has recently been updated to v1.4.1, fixing a minor memory leak.

What’s Changed

Full Changelog: https://github.com/invoke-ai/InvokeAI/compare/v5.6.2…v5.7.0

v5.6.2

This minor release includes the following enhancements and fixes:

  • Make the Upscaling tab’s Scheduler and CFG Scale settings independent from the Canvas tab. We’ve found that the best Scheduler and CFG Scale settings for Canvas rarely work well for Upscaling, and vice-versa. Separating the settings prevents your Canvas settings from causing bad upscale results.
  • Fixed issue with Multiply Image Channel node loading images with different channel counts. Thanks @dunkeroni!
  • Fixed typos in docs. Thanks @maximevtush!
  • Fixed issue where the app scrolls out of view, especially when using the launcher. Again. Hopefully.
  • Update internal build toolchain dependencies.
  • Updated translations. Thanks @Harvester62, @Linos1391, @Ery4z!

Installing and Updating

The new Invoke Launcher is the recommended way to install, update and run Invoke. It takes care of a lot of details for you - like installing the right version of python - and runs Invoke as a desktop application.

Follow the Quick Start guide to get started with the launcher.

If you don’t want to use the launcher, or need a headless install, you can follow the manual install guide.

What’s Changed

New Contributors

Full Changelog: https://github.com/invoke-ai/InvokeAI/compare/v5.6.1…v5.6.2

v5.6.1

This release includes a handful of minor improvements and fixes.

  • Improvements to memory management defaults, resulting in fewer OOMs.
  • Expanded FLUX LoRA compatibility.
  • On-demand model cache clearing via button on the Queue tab.
  • Canvas Adjust Image filter (i.e. levels, hue, etc). Thanks @dunkeroni!
  • Button to cancel all queue items except current. Thanks @rikublock!
  • Copy Canvas/Bbox as image via Canvas right-click menu.
  • Paste image into Canvas/Bbox via normal paste hotkey. You will be prompted for where the image should be placed.
  • Allow Collect nodes to be connected directly to Iterate nodes.
  • Allow Any type node inputs to accept collections. For example, the Metadata Item node’s value field now accepts collections.
  • Improved error messages when invalid graphs are queued.
  • LoRA Loader node LoRA collection input is now optional, supporting @skunkworxdark’s metadata nodes. Thanks @skunkworxdark!
  • Fixed issues where staging area got stuck if one image failed to load (e.g. if it was deleted).
  • Updated translations. Thanks @Harvester62, @Linos1391, @rikublock, @Ery4z!

Installing and Updating

The new Invoke Launcher is the recommended way to install, update and run Invoke. It takes care of a lot of details for you - like installing the right version of python - and runs Invoke as a desktop application.

Follow the Quick Start guide to get started with the launcher.

If you don’t want to use the launcher, or need a headless install, you can follow the manual install guide.

What’s Changed

Full Changelog: https://github.com/invoke-ai/InvokeAI/compare/v5.6.0…v5.6.1

v5.6.0

This release brings major improvements to Invoke’s memory management, new Blur and Noise Canvas filters, and expanded batch capabilities in Workflows.

Memory Management Improvements (aka Low-VRAM mode)

The goal of these changes is to allow users with low-VRAM GPUs to run even the beefiest models, like the 24GB unquantised FLUX dev model.

Despite the focus on low-VRAM GPUs and the colloquial name “Low-VRAM mode”, most users benefit from these improvements to Invoke’s memory management.

Low-VRAM mode works on systems with dedicated GPUs (Nvidia GPUs on Windows/Linux and AMD GPUs on Linux). It allows you to generate even if your GPU doesn’t have enough VRAM to hold full models.

Low-VRAM mode involves 4 features, each of which can be configured or fine-tuned:

  • Partial model loading
  • Dynamic RAM and VRAM cache sizes
  • Working memory
  • Keeping a copy of models in RAM

Most users should only need to enable partial loading by adding this line to their invokeai.yaml:

enable_partial_loading: true

🚨 Windows users should also disable the Nvidia sysmem fallback.

For more details and instructions for fine-tuning, see the Low-VRAM mode docs.

Thanks to @RyanJDick for designing and implementing these improvements!

Workflow Batches

We’ve expanded the capabilities for Batches in Workflows:

  • Float, integer and string batch data types
  • Batch collection generators
  • Grouped (aka zipped) batches

Float, integer and string batch data types

There’s a new batch node for each of the new data types. They work the same as the existing image batch node.

image

You can add a list of values directly in the node, but you’ll probably find generators to be a nicer way to set up your batch.

Batch collection generators

These are essentially nodes that run in the frontend and generate a list of values to use in a batch node. Included in the release are these generators:

  • Arithmetic Sequence (float, integer): Generate a sequence of count numbers, starting from start, that increase or decrease by step.
  • Linear Distribution (float, integer): Generate a distribution of count numbers, starting with start and ending with end.
  • Uniform Random Distribution (float, integer): Generation a random distribution of count numbers from min to max. You can set a seed for reproducible sequences.
  • Parse String (float, integer, string): Split the input on the specified string, parsing each value as a float, integer or string. You can load the input from a .txt file. Use \n as the split string to split on new lines.

You’ll notice the different handle icon for batch generators. These nodes cannot connect to non-batch nodes, which run in the backend.

Grouped (aka zipped) batches

When you use multiple batches, we run the graph once for every possible combination of values in the batch collections. In mathematical terms, we “take the Cartesian product” of all batch collections.

Consider this simple workflow that joins two strings: image

We have two batch collections, each with two strings. This results in 2 * 2 = 4 runs, one for each possible combination of the strings. We get these outputs:

  • “a cute cat”
  • “a cute dog”
  • “a ferocious cat”
  • “a ferocious dog”

But what if we wanted to group or “zip” up the two string collections into a single collection, executing the graph once for each pair of strings? This is now possible - we can set both nodes to the same batch group:

image

This results in 2 runs, one for each “pair” of strings. We get these outputs:

  • “a cute cat”
  • “a ferocious dog”

You can use grouped and ungrouped batches arbitrarily - go wild! The Invoke button tooltip lets you know how many executions you’ll end up with for the given batch nodes.

Keep in mind that grouped batch collections must have the same size, else we cannot zip them up into one collection. The Invoke button grey out and let you know there is a mismatch.

Details and technical explanation

On the backend, we first zip each group’s batch collections into a single collection. Ungrouped batch collections remain as-is.

Then, we take the product of all batch collections. If there is only a single collection (i.e. a single ungrouped batch node, or multiple batch nodes all with the same group), the product operation outputs the single collection as-is.

There are 5 slots for groups, plus a 6th ungrouped option:

  • None: Batch nodes will always be used as separate collections for the Cartesian product operation.
  • Groups 1 - 5: Batch nodes within a given group will first be zipped into a single collection, before the the Cartesian product operation.

All Changes

Fixes

  • Fix issue where excessively long board names could cause performance issues.
  • Fix error when using DPM++ schedulers with certain models. Thanks @Vargol!
  • Fix (maybe, hopefully) the app scrolling off screen when run via launcher.
  • Fix link to Scale setting’s support docs.
  • Fix image quality degradation when inpainting an image repeatedly.
  • Fix issue with transparent Canvas filter previews blend with unfiltered parent layer.

Enhancements

  • Support float, integer and string batch data types.
  • Add batch data generators.
  • Support grouped (aka zipped) batches.
  • Reduce peak memory during FLUX model load.
  • Add Noise and Blur filters to Canvas. Adding noise or blurring before generation can add a lot detail, especially when generating from a rough sketch. Thanks @dunkeroni!
  • Reworked error handling when installing models from a URL.
  • Updated first run screen and OOM error toast with links to Low-VRAM mode docs.
  • Add a small handful of nodes designed to support inpainting in workflows. See #7583 for more details and an example workflow.

Internal

  • Tidied some unused variables. Thanks @rikublock!
  • Added typegen check to CI pipeline. Thanks @rikublock!

Docs

  • Added stereogram nodes to Community Nodes docs. Thanks @simonfuhrmann!
  • Updated installation-related docs (quick start, manual install, dev install).
  • Add Low-VRAM mode docs.

Installing and Updating

The new Invoke Launcher is the recommended way to install, update and run Invoke. It takes care of a lot of details for you - like installing the right version of python - and runs Invoke as a desktop application.

Follow the Quick Start guide to get started with the launcher.

If you already have the launcher, you can use it to update your existing install.

We’ve just updated the launcher to v1.3.2. Review the launcher releases for a changelog. To update the launcher itself, download the latest version from the quick start guide - the download links there are kept up to date.

We recommend using the launcher, as described in the previous section!

To install or update with the outdated legacy scripts 😱, download the latest legacy scripts and follow the legacy scripts instructions.

What’s Changed

New Contributors

Full Changelog: https://github.com/invoke-ai/InvokeAI/compare/v5.5.0…v5.6.0

v5.5.0

This release brings support for FLUX Control LoRAs to Invoke, plus a few other fixes and enhancements.

It’s also the first stable release alongside the new Invoke Launcher!

Invoke Launcher ✨

image

The Invoke Launcher is a desktop application that can install, update and run Invoke on Windows, macOS and Linux.

It can manage your existing Invoke installation - even if you previously installed with our legacy scripts.

Download the launcher to get started

Refer to the new Quick Start guide for more details. There’s a workaround for macOS, which may not let you run the launcher.

FLUX Control LoRAs

Despite having “LoRA” in the name, these models are used in Invoke via Control Layers - like ControlNets. The only difference is that they do not support begin and end step percentages.

So far, BFL has released Canny and Depth models. You can install them from the Model Manager.

Other Changes

Enhancements

  • Support for FLUX Control LoRAs.

  • Improved error handling and recovery for Canvas, preventing Canvas from getting stuck if there is a network issue during some operations.

  • Reduced logging verbosity when default logging settings are used.

    Previously, all Uvicorn logging occurred at the same level as the app’s logging. This logging was very verbose and frequent, and made the app’s terminal output difficult to parse, with lots of extra noise.

    The Uvicorn log level is now set independently from the other log namespaces. To control it, set the log_level_network property in invokeai.yaml. The default is warning. To restore the previous log levels, set it to info (e.g. log_level_network: info).

Fixes

  • Image context menu actions to create a Regional and Global Reference Image layers were reversed.
  • Missing translation strings.
  • Canvas filters could execute twice. Besides being inefficient, on slow network connections, this could cause an error toast to appear even when the filter was successful. They now only execute once.
  • Model install error when the path contains quotes. Thanks @Quadiumm!

Internal

  • Upgrade docker image to Ubuntu 24.04 and use uv for package management.
  • Fix dynamic invocation values causing non-deterministic OpenAPI schema. This allows us to add a CI check to ensure the OpenAPI schema and TypeScript types are always in sync. Thanks @rikublock!

Translations

  • Updated Italian. Thanks @Harvester62!
  • Updated German. Thanks @rikublock!
  • Updated Vietnamese. Thanks @Linos1391!
  • Updated French. Thanks @Ery4z!

Installing and Updating

As mentioned above, the new Invoke Launcher is the recommended way to install, update and run Invoke. It takes care of a lot of details for you - like installing the right version of python - and runs Invoke as a desktop application.

Follow the Quick Start guide to get started with the launcher.

We recommend using the launcher, as described in the previous section!

To install or update with the outdated legacy scripts 😱, download the latest legacy scripts and follow the legacy scripts instructions.

What’s Changed

New Contributors

Full Changelog: https://github.com/invoke-ai/InvokeAI/compare/v5.4.3…v5.5.0

v5.4.3

This minor release adds initial support for FLUX Regional Guidance, arrow key nudge on Canvas, plus an assortment of fixes and enhancements.

Changes

Enhancements

  • Add 1-pixel nudge to the move tool on Canvas. Use the arrow keys to make fine adjustments to a layer’s position. Thanks @hippalectryon-0!
  • Change the default infill method from patchmatch to lama. You can use patchmatch.
  • Add empty state for Global Reference Images and Regional Guidance Reference Images, similar to the empty state for Control Layers. A blurb directs users to upload an image or drag an image from gallery to set the image.
  • FLUX performance improvements (~10% speed-up).
  • Added ImagePanelLayoutInvocation to facilitate FLUX IC-LoRA workflows.
  • FLUX Regional Guidance support (beta). Only positive prompts are supported; negative prompts, reference images and auto-negative are not supported for FLUX Regional Guidance.
  • Canvas layers now have a warning indicator that indicates issues with the layer that could prevent invoking or cause a problem.
  • New Layer from Image functions added to Canvas Staging Area Toolbar. These create a new layer without dismissing the rest of the staged images.
  • Improved empty state for Regional Guidance Reference Images.
  • Added missing New from... image context menu actions: Reference Image (Regional) and Reference Image (Global)
  • Added Vietnamese to language picker in Settings.

Fixes

  • Soft Edge (Lineart, Lineart Anime) Control Layers default to the Soft Edge filter correctly.
  • Remove the nonfunctional width and height outputs from the Image Batch node. If you want to use width and height in a batch, route the image from Image Batch to an Image Primitive node, which outputs width and height.
  • Ensure invocation templates have fully parsed before running studio init actions.
  • Bumped transformers to get a fix for Depth Anything artifacts.
  • False negative edge case with picklescan.
  • Invoke queue actions menu’s Cancel Current action erroneously cleared the entire queue. Thanks @rikublock!
  • New Reference Images could inadvertently have the last-used Reference Image populated on creation.
  • Error when importing GGUF models. Thanks @JPPhoto!
  • Canceling any queue item from the Queue tab also erroneously canceled the currently-executing queue item.

Internal

  • Add redux actions for support video modal.
  • Tidied various things related to the queue. Thanks @rikublock!

Docs

  • General tidy across many docs pages. Thanks @magnusviri!
  • Fixed a few broken links. Thanks @emmanuel-ferdman!

Translations

  • Updated Italian translations. Thanks @Harvester62!
  • Updated Vietnamese translations. Thanks @Linos1391!

Installation and Updating

To install or update, download the latest installer and follow the installation instructions

To update, select the same installation location. Your user data (images, models, etc) will be retained.

What’s Changed

New Contributors

Full Changelog: https://github.com/invoke-ai/InvokeAI/compare/v5.4.2…v5.4.3

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