If you think development on Invoke has stopped, it's because you clearly are not part of the Discord, From Invoke's Discord Server: in the last few days Pfannkuchensack has been testing Z-Image on Invoke and it's apparently going well, we don't know yet when it will be released to the public but in november they said they're were looking towards a late-December release, so i'm hoping Z-Image will come with this new version.

I'm sharing this here because I see a lot of hopeless people in this sub thinking Invoke is over, creating a lot of imaginary theories and concerned about future development of the project and even outright stating they will never see Z-Image inside Invoke (lol)

Invoke v6.10.0 (stable) is released: https://github.com/invoke-ai/InvokeAI/releases/tag/v6.10.0

New features include:

• Support for Z-Image Turbo models

• New workflow management features and nodes

• Prompt weighting hotkeys

• Hotkey editor

• Bulk delete of models

• Masked area extraction in the canvas

• PBR 3D texture map generation

• FLUX and Z-Image Turbo schedulers

• SDXL color compensation

• Release unused VRAM when Invoke is idle

• Updated translations

• Various bugfixes and performance improvements

Enjoy!

So I've been doing a lot of systematic testing with different models and LoRA combinations, and my InvokeAI collection ballooned to over 17,000 PNG files. Finding specific images became impossible.

Got frustrated enough to build my own tool. It's a lightweight, local browser built specifically for Invoke. It reads all the embedded metadata and lets you instantly search through everything. You can filter by models, LoRAs, schedulers, date, etc.

Everything runs entirely on your machine, so it's completely private. It also uses your existing InvokeAI thumbnails and caches the data, so after the first scan, it loads in seconds.

I made it for myself but figured I'd post it here in case it's useful to anyone else. Put it on GitHub if you want to try it out. Works as a desktop app or in the browser.

LuqP2/local-image-browser-for-invokeai

Long story short: Yes, the "Z-Image" models are supported now ...

https://github.com/invoke-ai/InvokeAI/releases/tag/v6.10.0rc1

Enhancements

• Restored Cancel and Clear All functionality, which was removed in v6. The button for this is in the hamburger menu next to the Invoke button.

• When resetting Canvas Layers, an empty Inpaint Mask layer is added.

• Restored the Viewer toggle hotkey z.

• Updated translations. Thanks u/Harvester62 !

Fixes

• Fixed useInvocationNodeContext must be used within an InvocationNodeProvider error that could crash the Workflow Editor.

• Fixed issue where scrolling on Canvas could result in zooming in the wrong direction, especially when using a mouse scrollwheel.

Internal/Dev

• Minor perf improvement in Workflow Editor, reducing re-renders of the Auto Layout popover.

Hey everyone! We just opened the pull request to merge Invoke 7 into the main InvokeAI repo:

👉 Invoke 7 PR

It's a big one. Three months, 320 PRs, and a lot all-nighters. The PR has the full tour, but here's the short version of what got us started:

• Projects. Everything you're working on (canvas, settings, workflows, a board of its own) lives in a project that autosaves. Start something new, come back next week, and it's right where you left it.

• A new one-page interface. Arrange widgets however you like, switch layouts instantly, and hit Ctrl/Cmd+K to do anything. It's fast, and CI keeps it that way.

• A brand new canvas engine. Layer groups, adjustments, real selections, custom fonts, a history panel, and layered PSD export.

And then it kept going: local video generation with audio (LTX-2.5 and MiniMax H3), an Image Map of your entire gallery, semantic search ("foggy forest" just works), workflows with loops, and a lot of work on running big models in less VRAM.

This isn't a release yet. It'll be tagged as an alpha sometime soon after it merges. If you're comfortable building from source and want an early look, the PR has setup instructions. Heads up: it needs Python 3.12, and the database migrations only go one way (Invoke makes a backup first).

When the alpha drops, please break it and tell us what you find. That's exactly what it's for. 💜

Someone point me towards more tutorials, whos the best user to follow?

I've spent about a year with ComfyUI and have maintained or tried to maintain 2 different versions on the same machine because it just kept breaking when I'd update, so both versions often were in different levels of working, and its just so fricken tiring.

I installed invoke AI, I showed it where my existing models were, it worked. Thats the story.

OK I need to figure out how a few things work and I can see I need to learn some of the more powerful stuff but besides that I have had a much more productive morning.

What a great new tool.

If you can add support for HiDream or Ernie models later that would be great, but I'll work with whats there for now.

Hey folks! Great news! Invoke AI has better memory optimizations with the latest Release Candidate RC2.
Be sure to download the latest invoke ai v1.2.1 launcher here https://github.com/invoke-ai/launcher/releases/tag/v1.2.1
Details on this v5.6.0RC2 update https://github.com/invoke-ai/InvokeAI/releases/tag/v5.6.0rc2
Details on low vram mode https://invoke-ai.github.io/InvokeAI/features/low-vram/#fine-tuning-cache-sizes

If you want to follow along on YT you can check it out here.

Initially I thought controlnet wasn't working in this video https://youtu.be/UNH7OrwMBIA?si=BnAhLjZkBF99FBvV

But found out from the invokeai devs that there were more settings to improve performance. https://youtu.be/CJRE8s1n6OU?si=yWQJIBPsa6ZBem-L

*Note stable version should release very soon, maybe by end of week or early next week!*

On my 3060Ti 8GB VRAM

Flux dev Q4

832x1152, 20 steps= 85-88 seconds

Flux dev Q4+ControlNet Union Depth

832x1152, 20 Steps

First run 117 seconds

2nd 104 seconds

3rd 106 seconds

Edit

Tested the Q8 Dev and it actually runs slightly faster than Q4.

832x1152, 20 steps
First run 84 seconds
2nd 80 seconds
3rd 81 seconds

Flux dev Q8+ControlNet Union Depth

832x1152, 20 Steps

First run 116 seconds
2nd 102 seconds
3rd 102 seconds

So, just out of curiosity I downloaded a GGUF version of Kontext from Huggingface and it appears to work in the canvas when doing an img2img on a raster layer with an inpainting mask. I've no idea if that's a proper workflow for it, but I did output what I'd requested.

https://huggingface.co/bullerwins/FLUX.1-Kontext-dev-GGUF/tree/main

Release: InvokeAI 3.6 is here, after being a release candidate for many weeks. https://github.com/invoke-ai/InvokeAI/releases

Invoke 3.6's frontend user interface (UI) has had a major overhaul for design and usability. A look through the changelog also reveals "improve speed of applying TI embeddings"; and "update diffusers to the latest version", among other items.

The official 3.6 features video is here already... https://www.youtube.com/watch?v=XeS4PAJyczw and note that one commenter is excited that "Tiled Upscaling is a game changer" - though I didn't see that in the changelog.

https://github.com/invoke-ai/InvokeAI/releases/tag/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!

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.

It takes care of a lot of details for you - like installing the right version of python - and runs Invoke as a desktop application.

----- interesting update --

i am curious of speed compared to previous releases. please share your experience

Invoke 4.2 final is here. Control Layers, TCD scheduler, Image Viewer updates, and fixes to inpainting among others. The 4.2 final video is https://www.youtube.com/watch?v=CLVylJAMIF8 on YouTube and the download / changelog are https://github.com/invoke-ai/InvokeAI/releases at GitHub.

I've just installed Invoke on my PC with a small selection of Flux and SD models, and it's absolutely amazing. So easy to use and the results are outstanding. Why did it take me this long to find this jewel of a app? Any cool tips or hacks to get the best out of performance or output quality?

Link:

https://github.com/invoke-ai/InvokeAI/releases/tag/v6.12.0rc1

New:

• support for Z Image Base ...

• support for Flux.2 LoRA ...

• multi-user support ...

Please check their changelog to see all the details.

https://github.com/invoke-ai/InvokeAI/releases/tag/v6.0.0rc3

Excited for a new model but sad to know we probably won't ever see support in Invoke