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Nano Banana Pro

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Re: Nano Banana Pro

#301

Earlier quoted context omitted.

>This is a GREAT example of the (not so) subtle mistakes AI will make in image generation, or code creation, or your future knee surgery. The mistake is in the prompting (not enough information). The AI did the best it could "What's the biggest known planet" "Jupiter" "NO I MEANT IN THE UNIVERSE!"

No, this is squarely on the AI. A human would know what you mean without specific instructions.

Seems like you're making a judgment based on your own experience, but as another commenter pointed out, it was wrong. There are plenty of us out there who would confirm, because people are too flawed to trust. Humans double/triple check, especially under higher stakes conditions (surgery).

Heck, humans are so flawed, they'll put the things in the wrong eye socket even knowing full well exactly where they should go - something a computer literally couldn't do.

Re: Nano Banana Pro

#302
post #276

Earlier quoted context omitted.

It's an image. There's simply no way to add a watermark to an image that's both imperceptible to the user and non-trivial to remove. You'd have to pick one of those options.

That is patently false.

So, uh... do you know of an implementation that has both those properties? I'd be quite interested in that.

Re: Nano Banana Pro

#303
post #281

Earlier quoted context omitted.

>> - Put a strawberry in the left eye socket. >>- Put a blackberry in the right eye socket. >> All five of the edits are implemented correctly This is a GREAT example of the (not so) subtle mistakes AI will make in image generation, or code creation, or your future knee surgery. The model placed the specified items in the eye sockets based on the viewers left/right; when we talk relative in this scenario we usually (…

Right, that's why one should use "put a strawberry in the portside eye socket" and "put a strawberry in the starboard side socket"

When it doubt, always use nautical terminology

Re: Nano Banana Pro

#304

I...worked on the detailed Nano Banana prompt engineering analysis for months ( https://news.ycombinator.com/item?id=45917875 )...and...Google just...Google released a new version. Nano Banana Pro should work with my gemimg package ( https://github.com/minimaxir/gemimg ) without pushing a new version by passing: g = GemImg(model="gemini-3-pro-image-preview") I'll add the new output resolutions and other features ASAP…

>> - Put a strawberry in the left eye socket. >>- Put a blackberry in the right eye socket. >> All five of the edits are implemented correctly This is a GREAT example of the (not so) subtle mistakes AI will make in image generation, or code creation, or your future knee surgery. The model placed the specified items in the eye sockets based on the viewers left/right; when we talk relative in this scenario we usually (…

I meant to add a clarification to that point (because the ambiguity is a valid counterpoint), thanks for the reminder.

Re: Nano Banana Pro

#305

Earlier quoted context omitted.

>This is a GREAT example of the (not so) subtle mistakes AI will make in image generation, or code creation, or your future knee surgery. The mistake is in the prompting (not enough information). The AI did the best it could "What's the biggest known planet" "Jupiter" "NO I MEANT IN THE UNIVERSE!"

No, this is squarely on the AI. A human would know what you mean without specific instructions.

If the instructions were actually specific, e.g. Put a blackberry in its right eye socket, then yes, most humans would know what that meant. But the instructions were not that specific: in the right eye socket

Re: Nano Banana Pro

#306
Google has been stomping around like Godzilla this week, and this is the first time I decided to link my card to their AI studio.

I had seen people saying that they gave up and went to another platform because it was "impossible to pay". I thought this was strange, but after trying to get a working API key for the past half hour, I see what they mean.

Everything is set up, I see a message that says "You're using Paid API key [NanoBanano] as part of [NanoBanano]. All requests sent in this session will be charged." Go to prompt, and I get a "permission denied" error.

There is no point in having impressive models if you make it a chore for me to -give you my money-

Re: Nano Banana Pro

#307

Something I find weird about AI image generation models is that even though they no longer produce weird "artifacts" that give away that the fact that it was AI generated, you can still recognize that it's AI due to stylistic choices. Not all examples they gave were like this. The example they gave of the word "Typography" would have fooled me as human-made. The infographics stood out though. I would have immediately…

It still has some artifacts more often than not, they are a lot subtler in nature but they still come out, whether it's texture, proportion, lighting, or perspective. Now some things are easier to fix on second pass edits, some are not. I guess it's why they consider image editing to be the next challenge.

Re: Nano Banana Pro

#308
It’s interesting, I’m trying to use it to create a themed collage by providing a few images and it does that wonderfully, but in the process it is also hallucinating the images I use so I end up with weird distorted faces. Other tools can do this without issue, but something about faces in images this model just has to modify them every time. Ask it to remove background objects and the faces get distorted as well.

Using it for non-people involved images and it’s pretty good although I haven’t done much and it isn’t doing anything 2.5-flash wasn’t already doing in the same amount of requests.

Re: Nano Banana Pro

#309

Something I find weird about AI image generation models is that even though they no longer produce weird "artifacts" that give away that the fact that it was AI generated, you can still recognize that it's AI due to stylistic choices. Not all examples they gave were like this. The example they gave of the word "Typography" would have fooled me as human-made. The infographics stood out though. I would have immediately…

I think it's because they're all trained on the same data (everything they could possibly scrape from the open web). The models tend to learn some kind of distribution of what is most likely for a given prompt. It tends to produce things that are very average looking, very "likely", but as a result also predictable and unoriginal. If you want something that looks original, you have to come up with a more original pro…

If you ever had a pinterest account and a deviant art account, all becomes clear.

Re: Nano Banana Pro

#310
post #213

I...worked on the detailed Nano Banana prompt engineering analysis for months ( https://news.ycombinator.com/item?id=45917875 )...and...Google just...Google released a new version. Nano Banana Pro should work with my gemimg package ( https://github.com/minimaxir/gemimg ) without pushing a new version by passing: g = GemImg(model="gemini-3-pro-image-preview") I'll add the new output resolutions and other features ASAP…

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…

Does the refrigerator magnet system prompt leak [1] still work?

[1] https://minimaxir.com/2025/11/nano-banana-prompts/#hello-nan....

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