Invoke is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, and serves as the foundation for multiple commercial products.
This is the first InvokeAI Community Edition release since the closure of the commercial venture, and we think you will be pleased with the new features and capabilities. This release introduces backend support for the state-of-the-art Z-Image Turbo image generation models, and multiple frontend improvements that make working with InvokeAI an even smoother and more pleasurable experience.
The Z-Image Turbo Model Family
Z-Image Turbo (ZiT) is a bilingual image generation model that manages to combine high performance with a small footprint and excellent image generation quality. It excels in photorealistic image generation, renders both English and Chinese text accurately, and is easy to steer. The full model will run easily on consumer hardware with 16 GB VRAM, and while quantized versions will run on significantly smaller cards, with some loss of precision.
With this release InvokeAI runs almost all released versions of ZiT, including diffusers, safetensors, GGUF, FP8 and quantified versions. However, be aware that the FP8 scaled weights models are not yet fully supported and will produce image artifacts. In addition, InvokeAI supports text2image, image2image, ZiT LoRA models, controlnet models, canvas functions and regional guidance. Image Prompts (IP) are not supported by ZiT, but similar functionality is expected when Z-Image Edit is publicly released.
To get started using ZiT, go to the Models tab and from the Launchpad select the Z-Image Turbo bundle to install all the available ZiT related models and dependencies (rougly 35 GB in total). Alternatively, you can select individual models from the Starter Models tab, and search for "Z-Image." The full and Q8 models will run on a 16 GB card. For cards with 6-8 GB of VRAM, choose the smaller quantized model, Z-Image Turbo GGUF Q4_K. Note that when using one of the quantized models, you will also need to install the standalone Qwen3 encoder and one of the Flux VAE models. This will be handled for you when you install a ZiT starter model.
When generating with these models it is recommended to use 8-9 steps and a CFG of 1. Be aware that due to ZiTs strong prompt following it does not generate as much image diversity as other models you may be used to. One way to increase image diversity is to create a custom workflow that adds noise to the Z-Image Text Encoder using @Pfannkuchensack's Image Seed Variance Enhancer Node.
In addition to the default Euler scheduler for ZiT we offer the more accurate but slower Heun scheduler, and a faster but less accurate LCM scheduler. Note that the LCM and Heun schedulers are still experimental, and may not produce optimal results in some workflows.
A big shout out to @Pfannkuchensack for his critical contributions to this effort.
New Workflow Features
We have two new improvements to the Workflow Editor:
Workflow Tags: It is now possible to add multiple arbitrary text tags to your workflows. To set a tag on the current workflow, go to Details and and scroll down to Tags. Enter a comma-delimited of tags that describe your workflow, such as "image, bounding box", and save. The next time you browse your workflows, you will see a series of checkboxes for all the unique tags in your workflow connection. Select the tag checkboxes individually or in combination to filter the workflows that are displayed. This feature was contributed by @Pfannkuchensack.
Prompt Template Node: Another @Pfannkuchensack workflow contribution is a new Prompt Template node, which allows you to apply any of the built-in or custom prompt style templates to a prompt before passing it onward to generation.
Prompt Weighting Hotkeys
@joshistoast has added a neat feature for adjusting the weighting of words and phrases in the prompt. Simply select a word or phrase in the prompt textbox and press Ctrl-Up Arrow to increase the weight of the selection (by adding "+" marks) or Ctrl-Down Arrow to decrease the weighting.
Limitations: The prompt weighting does not work properly with numeric weights, nor with prompts that contain the .add() or .blend() functions. This will be fixed in the next point release.
Hotkey Editor
Speaking of hotkeys, @Pfannkuchensack and @joshistoast contributed a new user interface for editing hotkeys. Any of the major UI functions, such as kicking off a generation, opening or closing panels, selecting tools in the canvas, gallery navigation, and so forth, can now be assigned a key shortcut combination. You can also assign multiple hotkeys to the same function.
To access the hotkey editor, go to the Settings (gear) menu in the bottom left, and select Hotkeys.
Bulk Operations in the Model Manager
You can now select multiple models in the Model Manager tab and apply bulk operations to them. Currently the only supported operation is to Delete unwanted models, but this feature will be expanded in the future to allow for model exporting, archiving, and other functionality.
This feature was contributed by @joshistoast, based on earlier work by @Pfannkuchensack .
Masked Area Extraction in the Canvas
It is now possible to extract an arbitrary portion of all visible raster layers that are covered by the Inpaint Mask. The extracted region is composited and added as a new raster layer. This allows for greater flexibility in the generation and manipulation of raster layers.
Thanks to @DustyShoe for this work.
PBR Maps
@blessedcoolant added support for PBR maps, a set of three texture images that can be used in 3D graphics applications to define a material's physical properties, such as glossiness. To generate the PBR maps, simply right click on any image in the viewer or gallery, and select "Filters -> PBR Maps". This will generate PBR Normal, Displacement, and Roughness map images suitable for use with a separate 3D rendering package.
New FLUX Model Schedulers
We've also added new schedulers for FLUX models (both dev and schnell). In addition to the default Euler scheduler, you can select the more accurate but slow Heun scheduler, and the faster but less accurate LCM scheduler. Look for the selection under "Advanced Options" in the Text2Image settings panel, or in the FLUX Denoise node in the workflow editor. Note that the LCM and Heun schedulers are still experimental, and may not produce optimal results in some workflows.
Thanks to @Pfannkuchensack for this contribution.
SDXL Color Compensation
When performing SDXL image2image operations, the color palette changes subtly and the discrepancy becomes increasingly obvious after several such operations. @dunkeroni has contributed a new advanced option to compensate for this color drift when generating with SDXL models.
Option to Release VRAM When Idle
InvokeAI tends to grab as much GPU VRAM as it needs and then hold on to it until the model cache is manually cleared or the server is restarted. This can cause an annoyance for people who need the VRAM for other tasks. @lstein added a new feature that will automatically clear the InvokeAI model cache and release its VRAM after a set period of idleness. To activate this feature, add the configuration option model_cache_keep_alive_min to the invokeai.yaml configuration file. It takes a floating point number corresponding to the number of minutes of idleness before VRAM is released. For example, to release after 5 minutes of idleness, enter:
model_cache_keep_alive_min: 5.0
Setting this value to 0 disables the feature. This is also the default if the configuration option is absent.
Bugfixes
Multiple bugs were caught and fixed in this release and are listed in the detailed changelog below.
Installing and Updating
The 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.
Note: With recent updates to torch, users on older GPUs (20xx and 10xx series) will likely run into issues with installing/updating. We are still evaluating how we can support older GPUs, but in the meantime users have found success manually downgrading torch. Head over to discord if you need help.
If you don't want to use the launcher, or need a headless install, you can follow the manual install guide.
New Contributors
@kyhavlov made their first contribution in https://github.com/invoke-ai/InvokeAI/pull/8613
@aleyan made their first contribution in https://github.com/invoke-ai/InvokeAI/pull/8722
@Copilot made their first contribution in https://github.com/invoke-ai/InvokeAI/pull/8693
Translation Credits
Many thanks to Riccardo Giovanetti (Italian) and RyoKoba (Japanese) who contributed their time and effort to providing translations of InvokeAI's text.
What's Changed
Fix(nodes): color correct invocation by @dunkeroni in https://github.com/invoke-ai/InvokeAI/pull/8605
chore: v6.8.1 by @psychedelicious in https://github.com/invoke-ai/InvokeAI/pull/8610
refactor: model manager v3 by @psychedelicious in https://github.com/invoke-ai/InvokeAI/pull/8607
tidy: docs and some tidying by @psychedelicious in https://github.com/invoke-ai/InvokeAI/pull/8614
chore: prep for v6.9.0rc1 by @psychedelicious in https://github.com/invoke-ai/InvokeAI/pull/8615
feat: reidentify model by @psychedelicious in https://github.com/invoke-ai/InvokeAI/pull/8618
fix(ui): generator nodes by @psychedelicious in https://github.com/invoke-ai/InvokeAI/pull/8619
chore(ui): point ui lib dep at gh repo by @psychedelicious in https://github.com/invoke-ai/InvokeAI/pull/8620
chore: prep for v6.9.0 by @psychedelicious in https://github.com/invoke-ai/InvokeAI/pull/8623
fix(mm): directory path leakage on scan folder error by @lstein in https://github.com/invoke-ai/InvokeAI/pull/8641
feat: remove the ModelFooter in the ModelView and add the Delete Mode… by @Pfannkuchensack in https://github.com/invoke-ai/InvokeAI/pull/8635
chore(codeowners): remove commercial dev codeowners by @lstein in https://github.com/invoke-ai/InvokeAI/pull/8650
Fix to enable loading fp16 repo variant ControlNets by @DustyShoe in https://github.com/invoke-ai/InvokeAI/pull/8643
ui: translations update from weblate by @weblate in https://github.com/invoke-ai/InvokeAI/pull/8599
(chore) Update requirements to python 3.11-12 by @lstein in https://github.com/invoke-ai/InvokeAI/pull/8657
Rework graph.py by @JPPhoto in https://github.com/invoke-ai/InvokeAI/pull/8642
Fix memory issues when installing models on Windows by @gogurtenjoyer in https://github.com/invoke-ai/InvokeAI/pull/8652
Feat: SDXL Color Compensation by @dunkeroni in https://github.com/invoke-ai/InvokeAI/pull/8637
feat(ui): improve hotkey customization UX with interactive controls and validation by @Pfannkuchensack in https://github.com/invoke-ai/InvokeAI/pull/8649
feat(ui): Color Picker V2 by @hipsterusername in https://github.com/invoke-ai/InvokeAI/pull/8585
Feature(UI): bulk remove models loras by @Pfannkuchensack in https://github.com/invoke-ai/InvokeAI/pull/8659
feat(prompts): hotkey controlled prompt weighting by @joshistoast in https://github.com/invoke-ai/InvokeAI/pull/8647
Feature: Add Z-Image-Turbo model support by @Pfannkuchensack in https://github.com/invoke-ai/InvokeAI/pull/8671
fix(ui): :bug: HotkeysModal and SettingsModal initial focus by @joshistoast in https://github.com/invoke-ai/InvokeAI/pull/8687
Feature: Add Tag System for user made Workflows by @Pfannkuchensack in https://github.com/invoke-ai/InvokeAI/pull/8673
Feature(UI): add extract masked area from raster layers by @DustyShoe in https://github.com/invoke-ai/InvokeAI/pull/8667
Feature: z-image Turbo Control Net by @Pfannkuchensack in https://github.com/invoke-ai/InvokeAI/pull/8679
fix(z-image): Fix padding token shape mismatch for GGUF models by @Pfannkuchensack in https://github.com/invoke-ai/InvokeAI/pull/8690
feat(starter-models): add Z-Image Turbo starter models by @Pfannkuchensack in https://github.com/invoke-ai/InvokeAI/pull/8689
fix: CFG Scale min value reset to zero by @blessedcoolant in https://github.com/invoke-ai/InvokeAI/pull/8691
feat(model manager): 💄 refactor model manager bulk actions UI by @joshistoast in https://github.com/invoke-ai/InvokeAI/pull/8684
feat(hotkeys): :sparkles: Overhaul hotkeys modal UI by @joshistoast in https://github.com/invoke-ai/InvokeAI/pull/8682
Feature (UI): add model path update for external models by @Pfannkuchensack in https://github.com/invoke-ai/InvokeAI/pull/8675
fix support multi-subfolder downloads for Z-Image Qwen3 encoder by @Pfannkuchensack in https://github.com/invoke-ai/InvokeAI/pull/8692
Feature: add prompt template node by @Pfannkuchensack in https://github.com/invoke-ai/InvokeAI/pull/8680
feat(hotkeys modal): ⚡ loading state + performance improvements by @joshistoast in https://github.com/invoke-ai/InvokeAI/pull/8694
Feature/user workflow tags by @Pfannkuchensack in https://github.com/invoke-ai/InvokeAI/pull/8698
feat(backend): add support for xlabs Flux LoRA format by @Pfannkuchensack in https://github.com/invoke-ai/InvokeAI/pull/8686
fix(prompts): :bug: prompt attention behaviors, add tests by @joshistoast in https://github.com/invoke-ai/InvokeAI/pull/8683
Workaround for Windows being unable to remove tmp directories when installing GGUF files by @lstein in https://github.com/invoke-ai/InvokeAI/pull/8699
chore: bump version to v6.10.0rc1 by @lstein in https://github.com/invoke-ai/InvokeAI/pull/8695
Feature: Add Z-Image-Turbo regional guidance by @Pfannkuchensack in https://github.com/invoke-ai/InvokeAI/pull/8672
(chore) Prep for v6.10.0rc2 by @lstein in https://github.com/invoke-ai/InvokeAI/pull/8701
fix(model-manager): add Z-Image LoRA/DoRA detection support by @Pfannkuchensack in https://github.com/invoke-ai/InvokeAI/pull/8709
feat(prompts): :lipstick: increase prompt font size by @joshistoast in https://github.com/invoke-ai/InvokeAI/pull/8712
fix(ui): misaligned Color Compensation Option by @blessedcoolant in https://github.com/invoke-ai/InvokeAI/pull/8714
fix(z_image): use unrestricted image self-attention for regional prompting by @Pfannkuchensack in https://github.com/invoke-ai/InvokeAI/pull/8718
fix(ui): make Z-Image model selects mutually exclusive by @Pfannkuchensack in https://github.com/invoke-ai/InvokeAI/pull/8717
Fix an issue with regional guidance and multiple quick-queued generations after moving bbox by @kyhavlov in https://github.com/invoke-ai/InvokeAI/pull/8613
Implement PBR Maps Node by @blessedcoolant in https://github.com/invoke-ai/InvokeAI/pull/8700
ui: translations update from weblate by @weblate in https://github.com/invoke-ai/InvokeAI/pull/8724
fix(docs): Bump python and github actions versions in mkdocs github action by @aleyan in https://github.com/invoke-ai/InvokeAI/pull/8722
ui: translations update from weblate by @weblate in https://github.com/invoke-ai/InvokeAI/pull/8725
fix(model-manager): support offline Qwen3 tokenizer loading for Z-Image by @Pfannkuchensack in https://github.com/invoke-ai/InvokeAI/pull/8719
fix(gguf): ensure dequantized tensors are on correct device for MPS by @Pfannkuchensack in https://github.com/invoke-ai/InvokeAI/pull/8713
(chore) update WhatsNew translation text by @lstein in https://github.com/invoke-ai/InvokeAI/pull/8727
Feature/zimage scheduler support by @Pfannkuchensack in https://github.com/invoke-ai/InvokeAI/pull/8705
Update CODEOWNERS by @JPPhoto in https://github.com/invoke-ai/InvokeAI/pull/8728
feat(flux): add scheduler selection for Flux models by @Pfannkuchensack in https://github.com/invoke-ai/InvokeAI/pull/8704
Update CODEOWNERS by @Pfannkuchensack in https://github.com/invoke-ai/InvokeAI/pull/8731
Update CODEOWNERS by @dunkeroni in https://github.com/invoke-ai/InvokeAI/pull/8732
fix(model-loaders): add local_files_only=True to prevent network requests by @Pfannkuchensack in https://github.com/invoke-ai/InvokeAI/pull/8735
docs(z-image) add Z-Image requirements and starter bundle by @lstein in https://github.com/invoke-ai/InvokeAI/pull/8734
Add configurable model cache timeout for automatic memory management by @Copilot in https://github.com/invoke-ai/InvokeAI/pull/8693
chore: Remove extraneous log debug statements from model loader by @lstein in https://github.com/invoke-ai/InvokeAI/pull/8738
Feature: z-image + metadata node by @Pfannkuchensack in https://github.com/invoke-ai/InvokeAI/pull/8733
feat(z-image): add add_noise option to Z-Image Denoise by @Pfannkuchensack in https://github.com/invoke-ai/InvokeAI/pull/8739
Full Changelog: https://github.com/invoke-ai/InvokeAI/compare/v6.9.0...v6.10.0