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Releases: invoke-ai/InvokeAI

v5.13.0rc1

27 May 12:23
@psychedelicious psychedelicious
v5.13.0rc1
675c990
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v5.13.0rc1 Pre-release
Pre-release

This release adds advanced Inpainting mask controls and other minor Canvas enhancements.

Changes

  • Canvas Inpaint Masks have additional per-mask settings. Enable them via right-click menu on the mask layer. Thanks @dunkeroni for working on these very useful features!
    • Noise Level adds image-space noise to the masked region before it is denoised. This can add natural variation and detail to the region. The added noise is generated using the global seed parameter as the RNG seed.
    • Denoise Limit caps the amount of denoising done on the masked region. You can inpaint multiple regions of the image simultaneously, but with different amounts of variation. This greatly simplifies a workflow where you want to make variations on an image, but want different parts of the image to vary more or less.
  • When selecting aspect ratios, give special handling to SDXL's trained sizes to reduce artifacts. Thanks @dunkeroni!
  • Improved Canvas scroll-to-zoom handling, including smoother scaling on touchpads and snapping to common zoom levels.
  • Added button to pull the bbox content into an empty Control Layer.
  • Updated Compel to get better handling for long prompts.
  • Updated translations.

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: v5.12.0...v5.13.0rc1

Contributors

weblate, dunkeroni, and 4 other contributors
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v5.12.0

22 May 04:59
@psychedelicious psychedelicious
v5.12.0
8a3848e
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v5.12.0

This release includes support for Nvidia 50xx GPUs, a way to relate models (e.g. LoRAs with a specific main model), new IP Adapter methods and other smaller changes..

Changes

  • Bumped PyTorch dependency to v2.7.0, which means Invoke now supports Nvidia 50xx GPUs.
  • New model relationship feature. In the model manager tab, you may "link" two models. At this time, the primary intended use case is to link LoRAs to main models. When you have the main model selected, the linked LoRAs will be at the top of the LoRA list. Thanks @xiaden!
  • New IP Adapter methods Style (Strong) and Style (Precise). The previous style method is renamed to Style (Simple). Thanks @cubiq!
  • Fixed GGUF quantization on MPS. Thanks @Vargol!
  • Updated translations. Thanks @Harvester62 @rikublock @Linos1391 @RyoK0220!
  • Internal: Invocation model changes, which aim to reduce occurrences of ValidationError errors.
  • Internal: Addressed pydantic deprecation warning.
  • Internal: Re-enabled new model classification API with safeguards.

🚨 Stricter Rules for Nodes, including Custom Nodes

This section is for node authors, whose nodes may be affected by the stricter rules.

Default values for node fields are now validated as the app starts up.

For example, this node defines my_image as an ImageField, but it provides a default value of None, which is not a valid ImageField:

@invocation("my_invocation")
class MyInvocation(BaseInvocation):
    my_image: ImageField = InputField(default=None)
    
    def invoke(self, context: InvocationContext) -> ImageOutput:
        ...

This node will error on app startup:

# 😱 Error on startup!
InvalidFieldError: Default value for field "my_image" on invocation "my_invocation" is invalid, 1 validation error for MyInvocation
my_image
  Input should be a valid dictionary or instance of ImageField [type=model_type, input_value=None, input_type=NoneType]

There are two ways to fix this, depending on the node author's intention.

1. If the field is truly optional, update the type annotation.

Using the example invocation from above, make the type annotation for my_image a union with None:

@invocation("my_invocation")
class MyInvocation(BaseInvocation):
    my_image: ImageField | None = InputField(default=None)

    def invoke(self, context: InvocationContext) -> ImageOutput:
        ...

ImageField | None is equivalent to Optional[ImageField]. Either works.

2. If the field is not optional, remove the default or provide a valid default value.

Using the example invocation from above, simply remove default=None:

@invocation("my_invocation")
class MyInvocation(BaseInvocation):
    my_image: ImageField = InputField()

    def invoke(self, context: InvocationContext) -> ImageOutput:
        ...

This node has an integer field that must be greater than 10, but the provided default value of 5. This will error:

@invocation("my_other_invocation")
class MyOtherInvocation(BaseInvocation):
    my_number: int = InputField(default=5, gt=10)

    def invoke(self, context: InvocationContext) -> IntegerOutput:
        ...

Either remove the default, or provide a default value greater than 10.

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: v5.11.0...v5.12.0

Contributors

Vargol, keturn, and 11 other contributors
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v5.12.0rc2

21 May 07:32
@psychedelicious psychedelicious
v5.12.0rc2
99dad95
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v5.12.0rc2 Pre-release
Pre-release

This release includes support for Nvidia 50xx GPUs, a way to relate models (e.g. LoRAs with a specific main model), new IP Adapter methods and more.

Changes

  • Bumped PyTorch dependency to v2.7.0, which means Invoke now supports Nvidia 50xx GPUs.
  • New model relationship feature. In the model manager tab, you may "link" two models. At this time, the primary intended use case is to link LoRAs to main models. When you have the main model selected, the linked LoRAs will be at the top of the LoRA list. Thanks @xiaden!
  • New IP Adapter methods Style (Strong) and Style (Precise). The previous style method is renamed to Style (Simple). Thanks @cubiq!
  • Fixed GGUF quantization on MPS. Thanks @Vargol!
  • Internal: Invocation model changes, which aim to reduce occurrences of ValidationError errors.
  • Internal: Addressed pydantic deprecation warning.
  • Internal: Re-enabled new model classification API with safeguards.

🚨 Stricter Rules for Nodes, including Custom Nodes

Default values for node fields are now validated as the app starts up.

For example, this node defines my_image as an ImageField, but it provides a default value of None, which is not a valid ImageField:

@invocation("my_invocation")
class MyInvocation(BaseInvocation):
    my_image: ImageField = InputField(default=None)
    
    def invoke(self, context: InvocationContext) -> ImageOutput:
        ...

This node will error on app startup:

# 😱 Error on startup!
InvalidFieldError: Default value for field "my_image" on invocation "my_invocation" is invalid, 1 validation error for MyInvocation
my_image
  Input should be a valid dictionary or instance of ImageField [type=model_type, input_value=None, input_type=NoneType]

There are two ways to fix this, depending on the node author's intention.

1. If the field is truly optional, update the type annotation.

Using the example invocation from above, make the type annotation for my_image a union with None:

@invocation("my_invocation")
class MyInvocation(BaseInvocation):
    my_image: ImageField | None = InputField(default=None)

    def invoke(self, context: InvocationContext) -> ImageOutput:
        ...

ImageField | None is equivalent to Optional[ImageField]. Either works.

2. If the field is not optional, remove the default or provide a valid default value.

Using the example invocation from above, simply remove default=None:

@invocation("my_invocation")
class MyInvocation(BaseInvocation):
    my_image: ImageField = InputField()

    def invoke(self, context: InvocationContext) -> ImageOutput:
        ...

This node has an integer field that must be greater than 10, but the provided default value of 5. This will error:

@invocation("my_other_invocation")
class MyOtherInvocation(BaseInvocation):
    my_number: int = InputField(default=5, gt=10)

    def invoke(self, context: InvocationContext) -> IntegerOutput:
        ...

Either remove the default, or provide a default value greater than 10.

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: v5.11.0...v5.12.0rc2

Contributors

Vargol, cubiq, and 6 other contributors
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v5.12.0rc1

19 May 13:46
@psychedelicious psychedelicious
v5.12.0rc1
7878203
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v5.12.0rc1 Pre-release
Pre-release

This release includes support for Nvidia 50xx GPUs, a way to relate models (e.g. LoRAs with a specific main model), and new IP Adapter methods.

Changes

  • Bumped PyTorch dependency to v2.7.0, which means Invoke now supports Nvidia 50xx GPUs.
  • New model relationship feature. In the model manager tab, you may "link" two models. At this time, the primary intended use case is to link LoRAs to main models. When you have the main model selected, the linked LoRAs will be at the top of the LoRA list. Thanks @xiaden!
  • New IP Adapter methods Style (Strong) and Style (Precise). The previous style method is renamed to Style (Simple). Thanks @cubiq!
  • Fixed GGUF quantization on MPS. Thanks @Vargol!
  • Internal invocation model changes, which aim to reduce occurrences of ValidationError errors.
  • Addressed pydantic deprecation warning.

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: v5.11.0...v5.12.0rc1

Contributors

Vargol, cubiq, and 5 other contributors
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v5.11.0

13 May 04:23
@psychedelicious psychedelicious
v5.11.0
143487a
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v5.11.0

This release's largest change is a new and improved model drop-down component.

🚨 Achtung! 🚨

If you already updated to v5.10.0, you can skip this section. If you are on v5.9.1 or older, please review this section before updating.

There are important installation notes to be aware of in this release, which includes major updates to Invoke's core components.

  1. You must use the latest installer/launcher (v1.5.0). If you’re using an older launcher version, the update may fail.

    To fix this, download the latest installer/launcher from https://invoke.com/downloads.

  2. If the installation fails, use repair mode to fix it.

    The installation may fail due to Python environment conflicts with log messages like those in this screenshot.

    To fix this, retry the installation with repair mode enabled, which will reinstall the bundled Python and resolve most installation issues.

    Enable repair mode by ticking this checkbox on the Review step of the install, then click Install.

  3. Form Builder reset on first launch.

    When you start Invoke for the first time after updating to v5.10.0, your Form Builder will be reset, losing any unsaved changes.

    Before updating, save your current workflow. After updating, re-load it manually.

Changes

  • New model drop-down component, aiming to improve the user experience with selecting models. It's currently enabled only for the main model drop-down.
  • Added button to reset an existing HF token to the Model Manager tab.
  • Support for FLUX LoRAs trained in invoke-training.
  • Nodes that output images, including nodes that output image collections, should always update the gallery.
  • Fixed issue where drag-and-drop didn't scroll when used in a scrollable container (for example, when you have a lot of layers or form builder elements).
  • Internal: Updated frontend dependencies.
  • Internal: Optional output_meta field added to BaseInvocationOutput. This field is not currently exposed in the Workflow Editor. In the future, it may be exposed to facilitate attaching additional metadata to invocation outputs.
  • Internal: Support code for a generation via Imagen3/ChatGPT 4o. These API models are currently unavailable in the Community Edition, but we may be able to change that in the future.

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: v5.10.1...v5.11.0

Contributors

psychedelicious, maryhipp, and 3 other contributors
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v5.11.0rc2

05 May 13:52
@psychedelicious psychedelicious
v5.11.0rc2
1f63b60
This commit was created on GitHub.com and signed with GitHub’s verified signature.
GPG key ID: B5690EEEBB952194
Verified
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v5.11.0rc2 Pre-release
Pre-release

🚨 Achtung! 🚨

If you already updated to v5.10.0, you can skip this section. If you are on v5.9.1 or older, please review this section before updating.

There are important installation notes to be aware of in this release, which includes major updates to Invoke's core components.

  1. You must use the latest installer/launcher (v1.5.0). If you’re using an older launcher version, the update may fail.

    To fix this, download the latest installer/launcher from https://invoke.com/downloads.

  2. If the installation fails, use repair mode to fix it.

    The installation may fail due to Python environment conflicts with log messages like those in this screenshot.

    To fix this, retry the installation with repair mode enabled, which will reinstall the bundled Python and resolve most installation issues.

    Enable repair mode by ticking this checkbox on the Review step of the install, then click Install.

  3. Form Builder reset on first launch.

    When you start Invoke for the first time after updating to v5.10.0, your Form Builder will be reset, losing any unsaved changes.

    Before updating, save your current workflow. After updating, re-load it manually.

Changes

  • New model combobox component, aiming to improve the user experience with selecting models. It's currently enabled only for the main model drop-down.
  • Added button to reset an existing HF token to the Model Manager tab.
  • Support for FLUX LoRAs trained in invoke-training.
  • Nodes that output images, including nodes that output image collections, should always update the gallery.
  • Fixed issue where drag-and-drop didn't scroll when used in a scrollable container (for example, when you have a lot of layers or form builder elements).
  • Internal: Updated frontend dependencies.
  • Internal: Optional output_meta field added to BaseInvocationOutput. This field is not currently exposed in the Workflow Editor. In the future, it may be exposed to facilitate attaching additional metadata to invocation outputs.
  • Internal: Support code for a generation via Imagen3/ChatGPT 4o. These API models are currently unavailable in the Community Edition, but we may be able to change that in the future.

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: v5.10.1...v5.11.0rc2

Contributors

psychedelicious, maryhipp, and 3 other contributors
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v5.11.0rc1

28 Apr 00:36
@psychedelicious psychedelicious
v5.11.0rc1
ba16557
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v5.11.0rc1 Pre-release
Pre-release

🚨 Achtung! 🚨

If you already updated to v5.10.0, you can skip this section. If you are on v5.9.1 or older, please review this section before updating.

There are important installation notes to be aware of in this release, which includes major updates to Invoke's core components.

  1. You must use the latest installer/launcher (v1.5.0). If you’re using an older launcher version, the update may fail.

    To fix this, download the latest installer/launcher from https://invoke.com/downloads.

  2. If the installation fails, use repair mode to fix it.

    The installation may fail due to Python environment conflicts with log messages like those in this screenshot.

    To fix this, retry the installation with repair mode enabled, which will reinstall the bundled Python and resolve most installation issues.

    Enable repair mode by ticking this checkbox on the Review step of the install, then click Install.

  3. Form Builder reset on first launch.

    When you start Invoke for the first time after updating to v5.10.0, your Form Builder will be reset, losing any unsaved changes.

    Before updating, save your current workflow. After updating, re-load it manually.

Changes

  • New model combobox component, aiming to improve the user experience with selecting models. It's currently enabled only for the main model drop-down, but we will enable it for other model fields prior to the stable release.
  • Nodes that output images, including nodes that output image collections, should always update the gallery.
  • Fixed issue where drag-and-drop didn't scroll when used in a scrollable container (for example, when you have a lot of layers or form builder elements).
  • Internal: Updated frontend dependencies.

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: v5.10.1...v5.11.0rc1

Contributors

psychedelicious
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v5.10.1

19 Apr 07:45
@psychedelicious psychedelicious
v5.10.1
298444f
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v5.10.1

🚨 Achtung! 🚨

If you already updated to v5.10.0, you can skip this section. If you are on v5.9.1 or older, please review this section before updating.

There are important installation notes to be aware of in this release, which includes major updates to Invoke's core components.

  1. You must use the latest installer/launcher (v1.5.0). If you’re using an older launcher version, the update may fail.

    To fix this, download the latest installer/launcher from https://invoke.com/downloads.

  2. If the installation fails, use repair mode to fix it.

    The installation may fail due to Python environment conflicts with log messages like those in this screenshot.

    To fix this, retry the installation with repair mode enabled, which will reinstall the bundled Python and resolve most installation issues.

    Enable repair mode by ticking this checkbox on the Review step of the install, then click Install.

  3. Form Builder reset on first launch.

    When you start Invoke for the first time after updating to v5.10.0, your Form Builder will be reset, losing any unsaved changes.

    Before updating, save your current workflow. After updating, re-load it manually.

Changes

  • Support partial loading for LLaVA and SigLIP (FLUX Redux) models, reducing VRAM requirements for users with Nvidia GPUs.
  • Reduce peak CPU RAM usage during initial load of LLaVA and SigLIP models. This allows users with at least 24GB CPU RAM to run the LLaVA 7B model without crashing during load. With partial loading now working for the model, most users should be able to run the model - though it can take a few minutes if you don't have a GPU with 24GB VRAM.
  • Revert a recent change to model installation, which could result in some models being misidentified as LoRAs.
  • The data viewer component, used to display JSON (e.g. metadata, workflows, node outputs) now wraps lines.

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: v5.10.0...v5.10.1

Contributors

psychedelicious
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v5.10.0

17 Apr 05:33
@psychedelicious psychedelicious
v5.10.0
64f3e56
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v5.10.0

This release focuses on internal improvements with a number of enhancements and fixes.

The biggest enhancement is support for CogView4, a permissively-licensed model that is fairly close to FLUX in terms of quality.

🚨 Achtung! 🚨

There are important installation notes to be aware of in this release, which includes major updates to Invoke's core components.

  1. You must use the latest installer/launcher (v1.5.0). If you’re using an older launcher version, the update may fail.

    To fix this, download the latest installer/launcher from https://invoke.com/downloads.

  2. If the installation fails, use repair mode to fix it.

    The installation may fail due to Python environment conflicts with log messages like those in this screenshot.

    To fix this, retry the installation with repair mode enabled, which will reinstall the bundled Python and resolve most installation issues.

    Enable repair mode by ticking this checkbox on the Review step of the install, then click Install.

  3. Form Builder reset on first launch.

    When you start Invoke for the first time after updating to v5.10.0, your Form Builder will be reset, losing any unsaved changes.

    Before updating, save your current workflow. After updating, re-load it manually.

Python 3.12 & PyTorch 2.6.0 support

Invoke now supports Python 3.12 and PyTorch 2.6.0. Many major dependencies have also be bumped to their latest version.

Changes

Enhancements

  • Support for CogView4 in Canvas and Workflows. Like FLUX, it works best with detailed, narrative prompts. You can download the model from the Starter Models tab in the Model Manager. It's pretty chunky at ~30GB overall, with similar hardware requirements to FLUX.
  • Save Canvas/Bbox to Gallery buttons now save basic metadata with the image (prompts, model, seed).
  • Models now have their file sizes recorded and displayed in the Model Manager. Thanks @keturn!
  • New capabilities for FLUX Redux to control how much influences the generation. On Canvas, this is controlled by the new Image Influence setting for both Global and Regional Reference Images. There are more controls in Workflows. Thanks @skunkworxdark!
  • Added nodes to convert metadata into collection types. Thanks @skunkworxdark!
  • Improved undo/redo on Workflows.
  • Updated docs. Thanks @chantellmocha!
  • Updated translations. Thanks @rikublock @Harvester62 @Linos1391 @RyoK0220!

Fixes

  • Fixed error when loading workflows that has invalid edges. This can occur if an installation is missing a custom node.
  • When left/right arrow keys are pressed while focused on a tab UI element, do not switch between images.
  • Restored missing "Using torch device" message that should display on startup.
  • ONNX models (e.g. DW OpenPose) now have their sizes calculated correctly. This fixes an issue where these models didn't work fully with the model manager.
  • Fixed issue where the Canvas Color Picker didn't grab alpha values correctly.
  • Fixed Canvas layer drop indicator line color (was bright red).
  • Send to Canvas image actions now work when Canvas is uninitialized. For example, if the UI loads on the Workflows tab and the user has not yet clicked the Canvas tab, the Canvas will not be initialized.
  • Increased padding when fitting layers to canvas to prevent the floating tool panel and other buttons from covering up the edges of the layers.
  • Fixed issue where, after a Canvas reset, if no prompt is entered, generating will re-use the prompt that was last used before the reset.
  • Fixed issue where some network queries weren't reset correctly. This could have caused a minor memory leak.

Internal

  • Support for python 3.12. This necessitates the use of repair mode during installation, as described in the 🚨 callout above.
  • Bump many dependencies to latest, including torch.
  • Remove many unused dependencies.
  • Remove legacy scripts from the codebase.
  • Ported LoRA model configs to the new classification API. This is an internal change.
  • Merged workflow Form Builder and Node Editor state and logic. Undo/redo on the Workflows tab now works for both Node Editor and the Form Builder, and the way actions are grouped in the undo/redo history is improved. This causes the loss of Form Builder state on first run, as described in the 🚨 callout above. Unfortunately, there's no way to prevent this data loss without significant effort.

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

Read more

Contributors

keturn, weblate, and 11 other contributors
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v5.10.0rc1

15 Apr 21:51
@psychedelicious psychedelicious
v5.10.0rc1
6a822a5
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v5.10.0rc1 Pre-release
Pre-release

This release focuses on internal improvements with a few enhancements and fixes, including support for CogView4, a permissively-licensed model that is pretty close to FLUX in terms of quality.

🚨 Achtung! 🚨

When you install this release for the first time, your Form Builder will be reset, losing unsaved changes. Please save your current workflow before updating, then re-load it afterwards.

Python 3.12 & PyTorch 2.6.0 support

Invoke now supports Python 3.12 and PyTorch 2.6.0. Many major dependencies have also be bumped to their latest version.

We've tested across Windows, macOS and Linux, but it's possible that there are some compatibility issues. Please let us know if something doesn't work on v5.10.0rc1 that did work on v5.9.1.

Changes

Enhancements

  • Support for CogView4 in Canvas and Workflows. Like FLUX, it works best with detailed, narrative prompts. You can download the model from the Starter Models tab in the Model Manager. It's pretty chunky at ~30GB overall, with similar hardware requirements to FLUX.
  • Save Canvas/Bbox to Gallery buttons now save basic metadata with the image (prompts, model, seed).
  • Models now have their file sizes recorded and displayed in the Model Manager. Thanks @keturn!
  • New capabilities for FLUX Redux to control how much influences the generation. On Canvas, this is controlled by the new Image Influence setting for both Global and Regional Reference Images. There are more controls in Workflows. Thanks @skunkworxdark!
  • Added nodes to convert metadata into collection types. Thanks @skunkworxdark!
  • Improved undo/redo on Workflows.
  • Updated docs. Thanks @chantellmocha!
  • Updated translations. Thanks @rikublock @Harvester62 @Linos1391!

Fixes

  • Fixed error when loading workflows that has invalid edges. This can occur if an installation is missing a custom node.
  • When left/right arrow keys are pressed while focused on a tab UI element, do not switch between images.
  • Restored missing "Using torch device" message that should display on startup.
  • ONNX models (e.g. DW OpenPose) now have their sizes calculated correctly. This fixes an issue where these models didn't work fully with the model manager.
  • Fixed issue where the Canvas Color Picker didn't grab alpha values correctly.
  • Fixed Canvas layer drop indicator line color (was bright red).
  • Send to Canvas image actions now work when Canvas is uninitialized. For example, if the UI loads on the Workflows tab and the user has not yet clicked the Canvas tab, the Canvas will not be initialized.
  • Increased padding when fitting layers to canvas to prevent the floating tool panel and other buttons from covering up the edges of the layers.

Internal

  • Support for python 3.12.
  • Bump many dependencies to latest, including torch.
  • Remove many unused dependencies.
  • Remove legacy scripts from the codebase.
  • Ported LoRA model configs to the new classification API. This is an internal change.
  • Merged workflow Form Builder and Node Editor state and logic. Undo/redo on the Workflows tab now works for both Node Editor and the Form Builder, and the way actions are grouped in the undo/redo history is improved. This causes the loss of Form Builder state on first run, as described in the 🚨 callout above. Unfortunately, there's no way to prevent this data loss without significant effort.

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: v5.9.1...v5.10.0rc1

Contributors

keturn, weblate, and 10 other contributors
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