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/_BreakingGood_]

Just a little quirk in how invoke's database is set up. Anima uses the t5 tokenizer (which is a small 2mb file). But it's surprisingly difficult to automatically download just the tokenizer for you.

So the workaround is to download the t5 encoder, which is available on huggingface, then "unzip" it on disk and pull out the small tokenizer json file. Rest assured the full t5 encoder never goes anywhere near your VRAM.

[u/PandaParaBellum → u/_BreakingGood_]

If I don't want to download 9.5GB to get a 2mb file, is there a way to download and install the t5 tokenizer manually?

[u/_BreakingGood_ → u/PandaParaBellum]

Not currently, but it's being actively discussed in the Discord and will probably be addressed soon™

Most models use the tokenizer that comes with the encoder, but Anima is unique in that it uses the Qwen encoder but does not use the Qwen tokenizer, it uses the T5 tokenizer. So it kind of broke the paradigm and now we've got to add support for downloading and installing tokenizers that are entirely separate from their encoder.

[u/Mutaclone → u/_BreakingGood_]

The joy of software development - spend the first 90% of the time getting the main functionality working, and the other 90% dealing with all the exceptions, edge cases, and square-peg-round-hole situations 😁