261–270 of 718 posts
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 Here's the result: https://simonwillison.net/2025/Nov/20/nano-banana-pro/#creat...
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> It's still a computer, and we still shouldn't trust everything we see. The fundamentals haven't changed. I think that by now it should be crystal clear to everyone that it matters a lot the sheer scale a new technology permits for $nefarious_intent. Knives (under a certain size) are not regulated. Guns are regulated in most countries. Atomic bombs are definitely regulated. They can all kill people if used badly, th…
> Knives (under a certain size) are not regulated. Guns are regulated in most countries. Atomic bombs are definitely regulated I don’t think this is a good comparison: knives are easy to produce, guns a bit harder, atomic bombs definitely harder. You should find something that is as easy to produce as a knife, but regulated.
The DEA and ATF have entered the chat
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You do know that every color copier comes with the ability to identify US currency and would refuse to copy it? And that every color printer leaves a pattern of faint yellow dots on every printout that uniquely identifies the printer?
And that's not a good thing.
And if it can be seen like that, it should be removeable too. There are more examples in that thread.
This is the first image model I’ve used that passed my piano test. It actually generated an image of a keyboard with the proper pattern of black keys repeated per octave – every other model I’ve tried this with since the first Dall-E has struggled to render more than a single octave, usually clumping groups of two black keys or grouping them four at a time. Very impressive grasp of recursive patterns.
"Generate a piano, but have the left most key start at middle C, and the notes continue in the standard order up (D, E, F, G, ...) to the right most key"
The above prompt will be wrong, seemingly every time. The model has no understanding of the keys or where they belong, and it is not able to intuit creating something within the actual confines of how piano notes are patterned.
"Generate a piano but color every other D key red"
This also wrong, every time, with seemingly random keys being colored.
I would imagine that a keyboard is difficult to render (to some extent) but I also don't think its particularly interesting since it is a fully standardized object with millions of pictures from all angles in existence to learn from right?
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 Here's the result: https://simonwillison.net/2025/Nov/20/nano-banana-pro/#creat...
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.
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In case anyone missed Max's Nano Banana prompting guide, it's absolutely the definitive manual for prompting the original Nano Banana... and I tried some of the prompts in there against Nano Banana Pro and found it to be very applicable to the new model as well. https://minimaxir.com/2025/11/nano-banana-prompts/#hello-nan... My recreations of those pancake batter skulls using Nano Banana Pro: https://simonwillison.ne…
> it's absolutely the definitive manual How do you know Simon? It's certainly a blog post, with content about prompting in it. If your goal is to make generative art that uses specific IP, I wouldn't use it.