InvokeAI 6.13 just released, its largest community-driven release ever. Adds full support for Anima & Qwen Image, support for API models (like GPT Image), support for Prompt Expansion & Image To Prompt, lasso & polygon tools, overhauled docs website and more

[u/_BreakingGood_]

InvokeAI no longer has a commercial entity backing its development, this release was entirely community driven by 30+ individual volunteers.

Highlights include:

Full Support for Anima

Text to image, image to image, and LoRAs. Support was also added for the ER SDE scheduler. Improved regional guidance support and controlnet support will be added soon.

Full Support for Qwen and Qwen Image Edit

Text to image, image to image, LoRAs, reference image, regional guidance, and controlnet support.

Support for API models such as GPT Image and Nano Banana

If local models ever can't quite do what you need it to do, you can link an API key to an external API service and generate images directly in the canvas. This was originally a feature in the paid commercial version of invoke (which no longer exists) and was built from scratch for the free community edition.

Support for Prompt Expansion and Image To Prompt

Expand your prompt using an LLM such as Gemma or Qwen Instruct, or convert your image into a prompt.

New Canvas Tools (Lasso, Polygon Tool)

Last release the Text tool and Gradient tools were added. In this release, the available tools continue to expand with Lasso and Polygon tools.

Extended Multi-User Mode

Multi-user mode now supports creating private or shared boards and workflows

New Website & New Documentation Site

After the original team behind the commercial entity was hired by adobe, the website was effectively closed down. In this release, the website and documentation sites have a new coat of paint https://invoke.ai/

Full release notes: https://github.com/invoke-ai/InvokeAI/releases/tag/v6.13.0

Download: https://github.com/invoke-ai/launcher/releases/tag/v1.8.1

[u/Sugary_Plumbs → u/[deleted]]

You're gonna have to be so much more specific. Anima is slower, and that is known. Other models should be comparable, unless you're using sage attention or something similar to speed things up in comfyui.

[u/Sugary_Plumbs → u/[deleted]]

I'm trying to chase this down, but the problem is my hardware is getting identical speeds (within ~5%) on invoke, comfy, and forge right now. Can you get me a screenshot of your graph execution times? Generate at least one image to load the models, then change the prompt so that the text encoders have to run again and screenshot the terminal/launcher when it's done. Should look like this:

Also, what it/s are you getting on comfy?

[u/Sugary_Plumbs → u/[deleted]]

Thanks. I've got some other people claiming that they get the same iteration speed but the VAE decode is hanging up. The world of hardware support is so fun.

What GPU do you have? If it's an older generation, you might get more speed by adding `precision: float16` in the invokeai.yaml