That section shows a single example, where pixels in some rectangular region around the selected object are being changed. For background removal, that rectangular region would encompass the entire image, so it's not clear whether you have any particular advantage there.
We will release a technical report about it. But our Krea 2 technical report is out and, AFAIK, it’s the most open technical report out there (1 hour estimated of reading time lol) so you can get a lot of information there already!
I actually was just talking about this with a peer. He was saying that people inside labs and data brokers use image models for RL training of LLMs to get better at these sort of tasks, which would make sense as a way to try to embed the knowledge into the LLM - similar to how Astra was clearly trained with more CAD, 3D, and Robotics in mind.
Gemini (the product) is a mix of an LLM plus image model plus agentic tooling. Is not apples to apples.
A fairer comparison would be Krea Agent with Krea 3 as image model. So you could have grounding, web search, verification models that assess results, etc.
If you told me Nano Banana Pro and that’s it, that’s a different story.
I understand what you're saying. My first thought is "is that really applicable to a mistake like the text on the T-shirt extending over the suit jacket that partially covers it?" Maybe it is. I also don't know what you actually get when you prompt Krea 3 via their website as I did today. I don't know whether that folds in some guidance from an LLM first. Tough to say.
https://x.com/_chenglou/status/2110557373651931267
It took me a bit to wrap my head around what you did.
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