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Releases

v4.2.1

This patch release brings a handful of fixes, plus docs and translation updates.

If you missed v4.2.0, please review its release notes to get up to speed on Control Layers.

📈 Patch Nodes for v4.2.1

  • Fixed seamless not being perfectly seamless sometimes
  • Fixed Control Adapter processor cancellation jank
  • Fixed Depth Anything processor drop-down jank
  • Fixed Control Adapter layers preventing interactions with layers below them (e.g. cannot move a Regional Guidance layer)
  • Fixed two issues with model cover images
    • When editing a model, the cover image disappeared, but reappeared on refresh
    • When converting a model to diffusers, the cover image was lost forever
  • Fixed NSFW checker for new installs
  • Prevent errors when using T2I adapter
    • May not invoke when image dimensions are not a multiple of 64
    • Control Adapter model select differentiates between ControlNet and T2I Adapter models
    • Reworked Invoke button tooltip describing why you may not Invoke when there is a configuration issue
  • Fixed translations for canvas layer select
  • Fixed Invoke button not showing loading state while queuing
  • Docs update @gogurtenjoyer
  • Translation updates @Harvester62 @Vasyanator @Pfannkuchensack @flower-elf @gallegonovato

💾 Installation and Updating

To install or update to v4.2.1, download the installer and follow the installation instructions.

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

Missing models after updating from v3 to v4

See this FAQ.

What’s Changed

Full Changelog: https://github.com/invoke-ai/InvokeAI/compare/v4.2.0…v4.2.1

v4.2.0

Since the very beginning, Invoke has been innovating where it matters for creatives. Today, we’re excited to do it again with Control Layers.

Invoke 4.2 brings a number of enhancements and fixes, with the addition of a major new feature - Control Layers.

🧪 Control Layers

Integrating some of the latest in open-source research, creatives can use Control Adapters, Image Prompts, and regional guidance to articulate and control the generation process from a single panel. With regional guidance, you can compose specific regions to apply a positive prompt, negative prompt, or any number of IP Adapters to be applied to the masked region. Control Adapters (ControlNet & T2I Adapters) and an Initial Image are visualized on the new Control Layers canvas.

You can read more about how to use Control Layers here - Control Layers

📈 Patch Nodes for v4.2.0

Enhancements

  • Control Layers
  • Add TCD scheduler @l0stl0rd
  • Image Viewer updates — You can easily switch to the Image Viewer on the Generations tab by tapping the Z hotkey, or double clicking on any image in the gallery.

Major Changes

Also known as the “who moved my 🧀?” section, this list details where certain features have moved.

  • Image to Image: The Image to Image pipeline can be executed using Control Layers by adding an Initial Image layer.
  • Control Adapters and IP Adapters: These have been moved to the Control Layers tab — with the added benefit of being able to visualize your control adapter’s processed images easily!

Fixes

  • Fixed inpainting models on canvas @dunkeroni
  • Fixed IP Adapter starter models
  • Fixed bug where temp files (tensors, conditioning) aren’t cleaned up properly
  • Fixed trigger phrase form submit @joshistoast
  • Fixed SDXL checkpoint inpainting models not installing
  • Fixed installing models on external SSDs on macOS
  • Fixed Control Adapter processors’ image size constraints being overly restrictive

💾 Installation and Updating

To install or update to v4.2.0, download the installer and follow the installation instructions.

To update, select the same installation location. Your user data will not be touched.

Missing models after updating from v3 to v4

See this FAQ.

What’s Changed

New Contributors

Full Changelog: https://github.com/invoke-ai/InvokeAI/compare/v4.1.0…v4.2.0

v4.1.0

Invoke v4.1.0 brings a many fixes and enhancements. The big ticket is Style and Composition IP Adapter.

🧪 Style and Composition IP Adapter (beta)

IP Adapter uses an image as a prompt. Images have two major components - their style and their composition - and you can choose either or both when using IP Adapter.

Use the new IP Adapter Method dropdown to select Full, Style, or Composition. The setting is applied per IP Adapter. You may need to delete and re-add active IP Adapters to see the dropdown.

No IP Adapter IP Adapter Image Full IP Adapter Style Only Composition Only

“a fierce wolf in an alpine forest”, all using same seed - note how the Full method turns the wolf into a mouse-canine hybrid

Shout-out to @blessedcoolant for this feature!

📈 Patch Nodes for v4.1.0

Enhancements

  • Backend and nodes implementation for regional prompting and regional IP Adapter (UI in v4.2.0)
  • Secret option in Workflow Editor to convert a graph into a workflow. See #6181 for how to use it.
  • Assortment of UI papercuts
  • Favicon & page title indicate generation status @jungleBadger
  • Delete hotkey and button work with gallery selection @jungleBadger
  • Workflow editor perf improvements
  • Edge labels in workflow editor
  • Updated translations @Harvester62, @symant233, @Vasyanator
  • Updated docs @sarashinai
  • Improved torch device and precision handling

Fixes

  • multipleOf for invocations (for example, the Noise invocation’s width and height have a step of 8)
  • Poor quality “fried” refiner outputs
  • Poor quality inpainting with gradient denoising and refiner
  • Canvas images appearing in the wrong places
  • The little eye defaulting to off in canvas staging toolbar
  • Premature OOM on windows (see shared GPU memory FAQ)
  • ~1s delay between queue items
  • Wonky model manager forms navigating away from UI @clsn

Invocation API

  • New method to get the filesystem path of an image: context.images.get_path(image_name: str, thumbnail: bool) @fieldOfView

Internal

  • Improved knip config @webpro
  • Updated python deps @Malrama

💾 Installation and Updating

To install or update to v4.1.0, download the installer and follow the installation instructions.

To update, select the same installation location. Your user data will not be touched.

Missing models after updating from v3 to v4

See this FAQ.

🐛 Known Issues

  • Inpainting models on Canvas sometimes kinda give up and output mush. The fix didn’t make it in to v4.1.0, we will aim to release a patch in by the weekend.

What’s Changed

New Contributors

Full Changelog: https://github.com/invoke-ai/InvokeAI/compare/v4.0.4…v4.1.0

v4.0.4

🚨 v4 has some major changes. Please read the patch notes. 🚨

Patch Nodes for v4.0.4

This patch release includes the following changes:

  • Add fit bounding box to image when sending image to canvas
  • Small handful of canvas bugs fixed
  • Refiner models displayed in model manager
  • Fix OOM on Windows (see this FAQ entry for more detail)
  • Restore initial image recall for img2img

💾 Installation and Updating

To install or update to v4.0.4, download the installer and follow the installation instructions. To update, select the same installation location.

🎉 What’s New in Invoke v4

💻 Simplified Installation, Updating and Configuration

We’ve simplified and streamlined installation, making it much faster and more reliable:

💖 New Model Manager

The model manager is rewritten in v4.0.0, both frontend and backend. This builds a foundation for future model architectures and brings some exciting new user-facing features:

  • All model installation happens via the UI (no configure script)
  • Queued model downloads
  • Per-model preview images
  • Per-model default settings - choose a model’s default VAE, Scheduler, CFG Scale, etc
  • User-defined trigger phrases for concepts/LoRAs and models - access by typing the < key in any prompt box
  • API key support for model marketplaces
  • 🚨 Autoimport removed - use Scan Folder instead

#️⃣ Model Hashing

When you first run v4, it may take a few minutes to start up as it does a one-time hash of all of your model files.

Do not panic.

Hashes provide a stable identifier for a model that is the same across every platform.

🚨 If you don’t care about this, you can press Ctrl+C to interrupt the process and disable hashing by setting hashing_algorithm: random setting in invokeai.yaml.

🎨 Canvas Improvements

The canvas uses a new method for compositing called gradient denoising. This eliminates the need for multiple “passes”, greatly reducing generation time on the canvas. This method also provides substantially improved visual coherence between the masked regions and the rest of the image.

The compositing settings on canvas allow for control over the gradient denoising process.

Major research & experimentation for this novel denoising implementation was led by @dunkeroni, and @blessedcoolant was responsible for managing integration into the canvas UI.

🐛 Known Issue

🚨 Inpainting models on Canvas sometimes kinda give up and output mush. We have a fix en-route, but it will need to wait for 4.1.0.

📈 Fixes and Enhancements

4.0.4

  • Add fit bounding box to image when sending image to canvas
  • Small handful of canvas bugs fixed
  • Refiner models displayed in model manager
  • Fix OOM on Windows (see this FAQ entry for more detail)
  • Restore initial image recall for img2img

4.0.2

  • Fix errors related to character encodings during install and startup
  • UI error on first launch of v4, requiring reset of UI
  • Cancel batch button not working
  • Improvements to Scan Folder
  • FAQ to fix some models not migrating to v4
  • Removed unused or wonky GPU options in installer
  • Root dir detection via venv path
  • Handful of cosmetic UI fixes
  • IP Adapter safetensor support

4.0.1

  • Minor updates that resolve performance issues on the canvas.
  • Some installation/updating fixes to improve experience.

4.0.0

Many small bug fixes, resolved papercuts, and warm fuzzies. Shouting out just a few notable goodies from the community:

  • Bulk downloads (download a selection of images or a whole board) @StefanTobler
  • Canvas Brush Size Scroll can now be inverted @joshistoast
  • Images in the Canvas Staging Area can now be discarded individually @joshistoast
  • Numerous fixes and UI enhancements @joshistoast
  • Numerous greybeard node things @dunkeroni
  • Iterate nodes now iterate in order @cgi-joe
  • Sane workflow sorting @clsn
  • Image dimensions overlay in the gallery @rohinish404
  • Localization fixes @rohinish404
  • New translations B N, @Harvester62, @Pfannkuchensack, @Bethanielle, @Vasyanator, @GGSSKK, & @Sufi2425
  • Updated torch and diffusers deps @Malrama
  • Docs updates @skunkworxdark, @gogurtenjoyer
  • LoRA probe fix @skunkworxdark

🎁 Bonus: Invoke Training (Beta)

As of v4.0.0, all references to training in the core invoke script now point to the Invoke Training Repo. Invoke Training offers a simple user interface for:

  • Textual Inversion Training
  • LoRA Training
  • Dreambooth Training
  • Pivotal Tuning Training

Learn more on the Invoke Training repo, as well as our YT video on getting started

Models don’t show up after upgrading

Follow these steps. If you are still missing some models, please create an issue on GitHub or ask for help on discord.

🤓 Developer Changes

v4.0.0 is versioned as a major release due to breaking changes:

  • The internal nodes API has been refactored to provide a stable public API. 🚨 Node authors should review the migration guide.
  • The internal graph execution engine is drastically simplified, resulting in more efficient and performant processing. This carries on from the changes in v3.6.0 in which graphs are no longer stored in the database.

🤝 Contributing

As a community-supported project, we rely on volunteers and enthusiasts for continued innovation and polish. Everything from minor documentation fixes to major feature additions are welcome. To get started as a contributor, please refer to How to Contribute or reach out in #dev-chat on Discord!

What’s Changed

New Contributors

Full Changelog: https://github.com/invoke-ai/InvokeAI/compare/v4.0.2…v4.0.4

v4.0.2

🚨 v4 has some major changes. Please read the patch notes. 🚨

🚨 🚨 🚨 Yes - Those patch notes 👇 🚨 🚨 🚨

🎉 What’s New in 4.0.2

This is a patch release includes these changes:

  • Fix errors related to character encodings during install and startup
  • UI error on first launch of v4, requiring reset of UI
  • Cancel batch button not working
  • Improvements to Scan Folder
  • FAQ to fix some models not migrating to v4
  • Removed unused or wonky GPU options in installer
  • Root dir detection via venv path
  • Handful of cosmetic UI fixes

It also includes one notable feature:

  • IP Adapter safetensor support

💻 Simplified Installation, Updating and Configuration

We’ve simplified and streamlined installation, making it much faster and more reliable:

💖 New Model Manager

The model manager is rewritten in v4.0.0, both frontend and backend. This builds a foundation for future model architectures and brings some exciting new user-facing features:

  • All model installation happens via the UI (no configure script)
  • Queued model downloads
  • Per-model preview images
  • Per-model default settings - choose a model’s default VAE, Scheduler, CFG Scale, etc
  • User-defined trigger phrases for concepts/LoRAs and models - access by typing the < key in any prompt box
  • API key support for model marketplaces
  • 🚨 Autoimport removed - use Scan Folder instead

#️⃣ Model Hashing

When you first run v4, it may take a few minutes to start up as it does a one-time hash of all of your model files.

Do not panic.

Hashes provide a stable identifier for a model that is the same across every platform.

🚨 If you don’t care about this, you can press Ctrl+C to interrupt the process and disable hashing by setting hashing_algorithm: random setting in invokeai.yaml.

🎨 Canvas Improvements

The canvas uses a new method for compositing called gradient denoising. This eliminates the need for multiple “passes”, greatly reducing generation time on the canvas. This method also provides substantially improved visual coherence between the masked regions and the rest of the image.

The compositing settings on canvas allow for control over the gradient denoising process.

Major research & experimentation for this novel denoising implementation was led by @dunkeroni, and @blessedcoolant was responsible for managing integration into the canvas UI.

🐛 Known Issue

🚨 Inpainting models on Canvas sometimes kinda give up and output mush. We have a fix en-route, but it will need to wait for 4.1.0.

📈 Fixes and Enhancements

4.0.2

Fixes
  • Fix errors related to character encodings during install and startup
  • UI error on first launch of v4, requiring reset of UI
  • Cancel batch button not working
  • Improvements to Scan Folder
  • FAQ to fix some models not migrating to v4
  • Removed unused or wonky GPU options in installer
  • Root dir detection via venv path
  • Handful of cosmetic UI fixes
Features
  • IP Adapter safetensor support

4.0.1

Fixes
  • Minor updates that resolve performance issues on the canvas.
  • Some installation/updating fixes to improve experience.

4.0.0

Many small bug fixes, resolved papercuts, and warm fuzzies. Shouting out just a few notable goodies from the community:

  • Bulk downloads (download a selection of images or a whole board) @StefanTobler
  • Canvas Brush Size Scroll can now be inverted @joshistoast
  • Images in the Canvas Staging Area can now be discarded individually @joshistoast
  • Numerous fixes and UI enhancements @joshistoast
  • Numerous greybeard node things @dunkeroni
  • Iterate nodes now iterate in order @cgi-joe
  • Sane workflow sorting @clsn
  • Image dimensions overlay in the gallery @rohinish404
  • Localization fixes @rohinish404
  • New translations B N, @Harvester62, @Pfannkuchensack, @Bethanielle, @Vasyanator, @GGSSKK, & @Sufi2425
  • Updated torch and diffusers deps @Malrama
  • Docs updates @skunkworxdark, @gogurtenjoyer
  • LoRA probe fix @skunkworxdark

🎁 Bonus: Invoke Training (Beta)

As of v4.0.0, all references to training in the core invoke script now point to the Invoke Training Repo. Invoke Training offers a simple user interface for:

  • Textual Inversion Training
  • LoRA Training
  • Dreambooth Training
  • Pivotal Tuning Training

Learn more on the Invoke Training repo, as well as our YT video on getting started

💾 Installation and Upgrading

🚨 To install or upgrade to version 4.0, download the zip file from the release notes (“Assets” section), unzip it, and follow the installation instructions. For upgrades, select the same installation location.

Download Installer

Models don’t show up after upgrading

Follow these steps. If you are still missing some models, please create an issue on GitHub or ask for help on discord.

🤓 Developer Changes

v4.0.0 is versioned as a major release due to breaking changes:

  • The internal nodes API has been refactored to provide a stable public API. 🚨 Node authors should review the migration guide.
  • The internal graph execution engine is drastically simplified, resulting in more efficient and performant processing. This carries on from the changes in v3.6.0 in which graphs are no longer stored in the database.

🤝 Contributing

As a community-supported project, we rely on volunteers and enthusiasts for continued innovation and polish. Everything from minor documentation fixes to major feature additions are welcome. To get started as a contributor, please refer to How to Contribute or reach out in #dev-chat on Discord!

What’s Changed

Full Changelog: https://github.com/invoke-ai/InvokeAI/compare/v4.0.1…v4.0.2

v4.0.1

🚨 4.0.0 has some major changes. Please read the patch notes. 🚨

🚨 🚨 🚨 Yes - Those patch notes 👇 🚨 🚨 🚨

🎉 What’s New in 4.0

💻 Simplified Installation, Updating and Configuration

We’ve simplified and streamlined installation, making it much faster and more reliable:

💖 New Model Manager

The model manager is rewritten in v4.0.0, both frontend and backend. This builds a foundation for future model architectures and brings some exciting new user-facing features:

  • All model installation happens via the UI (no configure script)
  • Queued model downloads
  • Per-model preview images
  • Per-model default settings - choose a model’s default VAE, Scheduler, CFG Scale, etc
  • User-defined trigger phrases for concepts/LoRAs and models - access by typing the < key in any prompt box
  • API key support for model marketplaces
  • 🚨 Autoimport removed - use Scan Folder instead

#️⃣ Model Hashing

When you first run v4.0.0, it may take a few minutes to start up as it does a one-time hash of all of your model files.

Do not panic.

Hashes provide a stable identifier for a model that is the same across every platform.

🚨 If you don’t care about this, you can press Ctrl+C to interrupt the process and disable hashing by setting hashing_algorithm: random setting in invokeai.yaml.

🎨 Canvas Improvements

The canvas uses a new method for compositing called gradient denoising. This eliminates the need for multiple “passes”, greatly reducing generation time on the canvas. This method also provides substantially improved visual coherence between the masked regions and the rest of the image.

The compositing settings on canvas allow for control over the gradient denoising process.

Major research & experimentation for this novel denoising implementation was led by @dunkeroni, and @blessedcoolant was responsible for managing integration into the canvas UI.

🐛 Known Issue

🚨 Inpainting models on Canvas sometimes kinda give up and output mush. We have a fix en-route, but it will need to wait for 4.1.0.

📈 Fixes and Enhancements

Many small bug fixes, resolved papercuts, and warm fuzzies. Shouting out just a few notable goodies from the community:

  • Bulk downloads (download a selection of images or a whole board) @StefanTobler
  • Canvas Brush Size Scroll can now be inverted @joshistoast
  • Images in the Canvas Staging Area can now be discarded individually @joshistoast
  • Numerous fixes and UI enhancements @joshistoast
  • Numerous greybeard node things @dunkeroni
  • Iterate nodes now iterate in order @cgi-joe
  • Sane workflow sorting @clsn
  • Image dimensions overlay in the gallery @rohinish404
  • Localization fixes @rohinish404
  • New translations B N, @Harvester62, @Pfannkuchensack, @Bethanielle, @Vasyanator, @GGSSKK, & @Sufi2425
  • Updated torch and diffusers deps @Malrama
  • Docs updates @skunkworxdark, @gogurtenjoyer
  • LoRA probe fix @skunkworxdark

4.01 Fixes

  • Minor updates that resolve performance issues on the canvas.
  • Some installation/updating fixes to improve experience.

🎁 Bonus: Invoke Training (Beta)

As of v4.0.0, all references to training in the core invoke script now point to the Invoke Training Repo. Invoke Training offers a simple user interface for:

  • Textual Inversion Training
  • LoRA Training
  • Dreambooth Training
  • Pivotal Tuning Training

Learn more on the Invoke Training repo, as well as our YT video on getting started

💾 Installation and Upgrading

🚨 To install or upgrade to version 4.0, download the zip file from the release notes (“Assets” section), unzip it, and follow the installation instructions. For upgrades, select the same installation location.

Download Installer

Models don’t show up after upgrading

Follow these steps. If you are still missing some models, please create an issue on GitHub or ask for help on discord.

🤓 Developer Changes

v4.0.0 is versioned as a major release due to breaking changes:

  • The internal nodes API has been refactored to provide a stable public API. 🚨 Node authors should review the migration guide.
  • The internal graph execution engine is drastically simplified, resulting in more efficient and performant processing. This carries on from the changes in v3.6.0 in which graphs are no longer stored in the database.

🤝 Contributing

As a community-supported project, we rely on volunteers and enthusiasts for continued innovation and polish. Everything from minor documentation fixes to major feature additions are welcome. To get started as a contributor, please refer to How to Contribute or reach out in #dev-chat on Discord!

What’s Changed

New Contributors

Full Changelog: https://github.com/invoke-ai/InvokeAI/compare/3.7.0…v4.0.1

v4.0.0

🚨 4.0.0 has some major changes. Please read the patch notes. 🚨

🚨 🚨 🚨 Yes - Those patch notes 👇 🚨 🚨 🚨

🎉 What’s New in 4.0.0

💻 Simplified Installation, Updating and Configuration

We’ve simplified and streamlined installation, making it much faster and more reliable:

💖 New Model Manager

The model manager is rewritten in v4.0.0, both frontend and backend. This builds a foundation for future model architectures and brings some exciting new user-facing features:

  • All model installation happens via the UI (no configure script)
  • Queued model downloads
  • Per-model preview images
  • Per-model default settings - choose a model’s default VAE, Scheduler, CFG Scale, etc
  • User-defined trigger phrases for concepts/LoRAs and models - access by typing the < key in any prompt box
  • API key support for model marketplaces
  • 🚨 Autoimport removed - use Scan Folder instead

#️⃣ Model Hashing

When you first run v4.0.0, it may take a few minutes to start up as it does a one-time hash of all of your model files.

Do not panic.

Hashes provide a stable identifier for a model that is the same across every platform.

🚨 If you don’t care about this, you can press Ctrl+C to interrupt the process and disable hashing by setting hashing_algorithm: random setting in invokeai.yaml.

🎨 Canvas Improvements

The canvas uses a new method for compositing called gradient denoising. This eliminates the need for multiple “passes”, greatly reducing generation time on the canvas. This method also provides substantially improved visual coherence between the masked regions and the rest of the image.

The compositing settings on canvas allow for control over the gradient denoising process.

Major research & experimentation for this novel denoising implementation was led by @dunkeroni, and @blessedcoolant was responsible for managing integration into the canvas UI.

🐛 Known Issue

🚨 Inpainting models on Canvas sometimes kinda give up and output mush. We have a fix en-route, but it will need to wait for 4.1.0.

📈 Fixes and Enhancements

Many small bug fixes, resolved papercuts, and warm fuzzies. Shouting out just a few notable goodies from the community:

  • Bulk downloads (download a selection of images or a whole board) @StefanTobler
  • Canvas Brush Size Scroll can now be inverted @joshistoast
  • Images in the Canvas Staging Area can now be discarded individually @joshistoast
  • Numerous fixes and UI enhancements @joshistoast
  • Numerous greybeard node things @dunkeroni
  • Iterate nodes now iterate in order @cgi-joe
  • Sane workflow sorting @clsn
  • Image dimensions overlay in the gallery @rohinish404
  • Localization fixes @rohinish404
  • New translations B N, @Harvester62, @Pfannkuchensack, @Bethanielle, @Vasyanator, @GGSSKK, & @Sufi2425
  • Updated torch and diffusers deps @Malrama
  • Docs updates @skunkworxdark, @gogurtenjoyer
  • LoRA probe fix @skunkworxdark

🎁 Bonus: Invoke Training (Beta)

As of v4.0.0, all references to training in the core invoke script now point to the Invoke Training Repo. Invoke Training offers a simple user interface for:

  • Textual Inversion Training
  • LoRA Training
  • Dreambooth Training
  • Pivotal Tuning Training

Learn more on the Invoke Training repo, as well as our YT video on getting started

💾 Installation and Upgrading

🚨 To install or upgrade to version 4.0, download the zip file from the release notes (“Assets” section), unzip it, and follow the installation instructions. For upgrades, select the same installation location.

Download Installer

🤓 Developer Changes

v4.0.0 is versioned as a major release due to breaking changes:

  • The internal nodes API has been refactored to provide a stable public API. 🚨 Node authors should review the migration guide.
  • The internal graph execution engine is drastically simplified, resulting in more efficient and performant processing. This carries on from the changes in v3.6.0 in which graphs are no longer stored in the database.

🤝 Contributing

As a community-supported project, we rely on volunteers and enthusiasts for continued innovation and polish. Everything from minor documentation fixes to major feature additions are welcome. To get started as a contributor, please refer to How to Contribute or reach out in #dev-chat on Discord!

📝 What’s Changed

New Contributors

Full Changelog: https://github.com/invoke-ai/InvokeAI/compare/3.7.0…v4.0.0

Invoke 3.7.0

Invoke is a leading creative engine built to empower professionals and enthusiasts alike. Generate and create stunning visual media using the latest AI-driven technologies. Invoke offers an industry-leading web interface and also serves as the foundation for multiple commercial products.

You can learn more Invoke and our mission by visiting https://www.invoke.com/about, or joining our Discord server!

🌟 What’s New in 3.7.0

Workflow Editor Improvements

  • Workflow Linear View - Workflows are now able to be used in a sleek Linear View interface that hides the workflow and focuses on the image being generated! To enable this, from a workflow, click the “Use in Linear View” button next to the model name in the left sidebar.
  • Workflow Linear View inputs are now able to be re-ordered by dragging and dropping.

Other Changes

  • DWPose is now the default OpenPose processor in Invoke - see Things to Know
  • Improved Seamless Tiling! Now even more seamless
  • Update diffusers version to 0.26.3
  • Various bug fixes

‼️ Things to Know:

Possible Update Issues

  • When upgrading from 3.4 via the updater script, the UI will not render and will display an error: {"detail":"Not Found"}. To fix this error, download the installer and re-run it in the same location as your existing installation.

Invoke might revert to CPU (NVIDIA GPU only)

  • Some users have experienced torch reverting to the CPU rather than their GPU. To fix this follow these steps:
  1. Launch your invoke.bat / invoke.sh and select the option to open the developer console
  2. Run: pip install --force-reinstall torch==2.1.2 --index-url https://download.pytorch.org/whl/cu121
  3. If you run into an error with typing_extensions, run: pip install -U typing-extensions
  4. If there is an error with fsspec, run pip install -U fsspec==2023.5.0

Other

  • In some cases, the OpenPose processor might not automatically switch to DWPose. To choose DWPose, use the “Show Advanced” caret to open the processor settings and choose DW Openpose as the processor.
  • Currently known issues:
    • Scan for Models is currently disabled due to the Model Manager refactor

💿 Installation and Upgrading:

To install version 3.7, please download the zip file at the bottom of the release notes (under “Assets”), 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.

If you already have Invoke version 3.x installed, you can update by running invoke.sh / invoke.bat and selecting “Updated Invoke” to upgrade, or you can download and run the installer in your existing Invoke installation location.

🚨 Please ensure your generation queue has no pending items before upgrading. Pending generations may fail after an upgrade. 🚨

Download the installer: InvokeAI-installer-v3.7.0.zip

💻 Developer Changes

There are a number of important changes for contributors to be aware of.

Model Manager

The Model Manager is partway through a redesign, to make it more capable and maintainable. The redesign will support a much better user experience for downloading, installing and managing models. The changes are in the repo, but implemented separately from the user-facing app.

⚙️ Contributing:

As a community-supported project, we rely on volunteers and enthusiasts for continued innovation and polish. Everything from minor documentation fixes to major feature additions are welcome. To get started as a contributor, please refer to How to Contribute or reach out to imic on Discord!

New Contributors

What’s Changed

Full Changelog: https://github.com/invoke-ai/InvokeAI/compare/3.6.3…3.7.0

Invoke 3.6.3

Invoke is a leading creative engine built to empower professionals and enthusiasts alike. Generate and create stunning visual media using the latest AI-driven technologies. Invoke offers an industry-leading web interface and also serves as the foundation for multiple commercial products.

You can learn more Invoke and our mission by visiting https://www.invoke.com/about, or joining our Discord server!

🌟 What’s New in 3.6.3

  • Significantly improved generation speeds
  • Workflow Library improvements
  • New Unified Canvas Hotkeys - Ctrl + Mouse Scroll can now change the brush size!
  • Installer & Updater improvements
  • Model Manager updates to model conversion and saving
  • Faster image saving - see “Other” in Things to Know

‼️ Things to Know:

Possible Update Issues

  • When upgrading from 3.4 via the updater script, the UI will not render and will display an error: {"detail":"Not Found"}. To fix this error, download the installer and re-run it in the same location as your existing installation.

Invoke might revert to CPU (NVIDIA GPU only)

  • Some users have experienced torch reverting to the CPU rather than their GPU. To fix this follow these steps:
  1. Launch your invoke.bat / invoke.sh and select the option to open the developer console
  2. Run: pip install --force-reinstall torch==2.1.2 --index-url https://download.pytorch.org/whl/cu121
  3. If you run into an error with typing_extensions, run: pip install -U typing-extensions
  4. If there is an error with fsspec, run pip install -U fsspec==2023.5.0

Other

  • To take advantage of the image saving speed increase for existing installations, set your png_compress_level to 1 in your invoke.yaml file.
  • Graph data was not being used and is longer saved in the database. You may experience an unusual pause during updating as this is data is deleted.
  • Currently known issues:
    • Scan for Models is currently disabled due to the Model Manager refactor

💿 Installation and Upgrading:

To install version 3.6.3, please download the zip file at the bottom of the release notes (under “Assets”), 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.

If you already have Invoke version 3.x installed, you can update by running invoke.sh / invoke.bat and selecting “Updated Invoke” to upgrade, or you can download and run the installer in your existing Invoke installation location.

🚨 Please ensure your generation queue has no pending items before upgrading. Pending generations may fail after an upgrade. 🚨

Download the installer: InvokeAI-installer-v3.6.3.zip

💻 Developer Changes

There are a number of important changes for contributors to be aware of.

Model Manager

The Model Manager is partway through a redesign, to make it more capable and maintainable. The redesign will support a much better user experience for downloading, installing and managing models. The changes are in the repo, but implemented separately from the user-facing app.

⚙️ Contributing:

As a community-supported project, we rely on volunteers and enthusiasts for continued innovation and polish. Everything from minor documentation fixes to major feature additions are welcome. To get started as a contributor, please refer to How to Contribute or reach out to imic on Discord!

New Contributors

Full Changelog: https://github.com/invoke-ai/InvokeAI/compare/v3.6.2…3.6.3

Invoke 3.6.2

Invoke is a leading creative engine built to empower professionals and enthusiasts alike. Generate and create stunning visual media using the latest AI-driven technologies. Invoke offers an industry-leading web interface and also serves as the foundation for multiple commercial products.

You can learn more Invoke and our mission by visiting https://www.invoke.com/about, or joining our Discord server!

🌟 What’s New in 3.6.2

  • UI/UX Overhaul Improvements
    • Based on community feedback, updates have been made to the new UI/UX See “Things to Know” below when upgrading from Invoke 3.4
  • Depth-Anything is now supported and is the default depth processor in Invoke
  • Remix image - similar to Use All, but allows you to create a new image by setting all parameters except the Seed
  • “About” menu can be found in settings. Displays Invoke & dependency versions
  • Ideal Size node is now a default node
  • Fixed LoRA renaming bug
  • Updated Workflow saving behavior

‼️ Things to Know:

  • When upgrading from 3.4 via the updater script, the UI will not render and will display an error: {"detail":"Not Found"}. To fix this error, open the developer console from the invoke.bat / invoke.sh menu and run: pip install --use-pep517 --upgrade --force-reinstall InvokeAI==v3.6.2
  • Currently known issues:
    • Scan for Models is currently disabled due to the Model Manager refactor

Invoke might revert to CPU (NVIDIA GPU only)

  • Some users have experienced torch reverting to the CPU rather than their GPU. To fix this follow these steps:
  1. Launch your invoke.bat / invoke.sh and select the option to open the developer console
  2. Run: pip install --force-reinstall torch==2.1.2 --index-url https://download.pytorch.org/whl/cu121
  3. If you run into an error with typing_extensions, run: pip install -U typing-extensions
  4. If there is an error with fsspec, run pip install -U fsspec==2023.5.0

💿 Installation and Upgrading:

To install version 3.6.2, please download the zip file at the bottom of the release notes (under “Assets”), 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.

If you already have Invoke version 3.x installed, you can update by running invoke.sh / invoke.bat and selecting “Updated Invoke” to upgrade, or you can download and run the installer in your existing Invoke installation location.

🚨 Please ensure your generation queue has no pending items before upgrading. Pending generations may fail after an upgrade. 🚨

Download the installer: InvokeAI-installer-v3.6.2.zip

💻 Developer Changes

There are a number of important changes for contributors to be aware of.

Frontend/UI

The biggest change is that the frontend build is no longer included in main. If you run the app off a clone of the repo, you’ll need to build the frontend to use the UI. See the “Impact to Contributors” section on this PR https://github.com/invoke-ai/InvokeAI/pull/5253.

Model Manager

The Model Manager is partway through a redesign, to make it more capable and maintainable. The redesign will support a much better user experience for downloading, installing and managing models. The changes are in the repo, but implemented separately from the user-facing app.

⚙️ Contributing:

As a community-supported project, we rely on volunteers and enthusiasts for continued innovation and polish. Everything from minor documentation fixes to major feature additions are welcome. To get started as a contributor, please refer to How to Contribute or reach out to imic on Discord!

New Contributors

Full Changelog: https://github.com/invoke-ai/InvokeAI/compare/v3.6.0…v3.6.2

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