This thing's ability to produce entire infographics from a short prompt is really impressive, especially since it can run extra Google searches first.

I tried this prompt:

  Infographic explaining how the Datasette open source project works

This is legitimately game changing a feature in my SaaS where customers can generate event flyers. Up until now I had Nano Banana generate just a decorative border and had the actual text be rendered via Pillow controlled by an LLM. The result worked, but didn’t look good.

That said, I wonder if text is only good in small chunks (less than a sentence) or if it can properly render full sentences.

It didn’t do so well at finding middle C on a piano keyboard:

https://gemini.google.com/share/c9af8de05628

I did manage to get one image of a piano keyboard where the black keys were correct, but not consistently.

It even worked really well at creating an infographic for one of my quirkier projects which doesn't have that much information online (other than its repo).

"An infographic explaining how player.html works (from the player.html project on Github). https://github.com/pseudosavant/player.html"

And then it made one formatted for social: "Change it to be an infographic formatted to fit on Instagram as a 1:1 square image."

Is the infographic accurate in terms of the way datasette wprks?

I’ve been really excited for you infographic generation. Previous models from Google and openAI had very low detail/resolution for these things.

I’ve found in general that the first generation may not be accurate but a few rolls of the dice and you should have enough to pick a style and format that works, which you can iterate on.

Game changer for architecture diagrams.

Did you check if the SynthID works when you edit the photos with filters like GrayScale?

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