The first example of generating home interiors fills me with indescribable hatred. Recently real estate agents have taken to running every dilapidated unsellable apartment through these AI filters, and you have to scroll through a dozen of these Ikea-chic images of what the apartment presumably could look like, before you are allowed to see the horrors they are trying to peddle at insane prices.
Why should that be illegal?
It’s multiplying the productivity of our economy, instead of someone having to waste time and money making the apartment actually look like that, you can just generate an image of it, that’s massive productivity boost with no harm done to the final product, unless the tenant cares about the slippage between a generated image of an apartment that looks nice and an apartment that’s actually nice.
And plus thats time the real estate agent could have spent prompting claude to cure cancer so its a double win
I'm not sure if you're being serious but it should be illegal because they're producing images that are often not physically possible. At least if an agent stages an apartment with real furniture they are doing something a tenant really could do. But these AI images tend to change the physical dimensions of a room, use images of furniture that don't make sense dimensionally, shift the "natural" light of the room in a way that the sun will never provide and sometimes even change the view through the windows of the room.
And it's borderline fraud, I think I saw an apartment on Streeteasy where they were able to 'fit' an entire desk, drawers and a queen size bed, obviously these image models just scale these down to proportions that just don't exist in real life.
the actual bedroom could only fit queen size bed ;(
In a sane world, this would be a clear cut case of false advertisement, and the real estate agents would be held liable for fraud. Sadly, we don't live in a sane world.
Just having a good photographer is amazing. When my friend was selling their place I was amazed and how good the house looked in the listing. How big it looked, when I know it was not big. This was before AI filters were available. So not a new issue but certainly made worse and cheaper to do.
AI has very uniquely made creating these faked/impossible layout images one of the cheapest & easiest things you can do at the moment, even if it didn't introduce the concept. Simultaneously, AI has had very little cost reduction impact on much else. This change in relative balance is how AI has created the new version of the problem and it's not apparent how this imbalance was always bound to occur without AI.
Accepting 100% that it should be in some way deemed unacceptable (socially or legally) to fake what an apartment actually looks like, I did find using an image model really helpful in making design choices for my bathroom remodel. Mostly about whether to tile certain things where we couldn't quite visualize ourselves what the effect on the entire space would be.
There needs to be lawsuits over stuff like that. I don't get why people accept blatant false advertising just cause the tech used to do it is new. They may as well be uploading pictures of a real, nicer apartment with a similar layout. What's the difference?
Honestly a great start up would be a review system for house listings.
Users can rate how accurate the description was, the real life flaws and even upload their own photos.
Side note: last time I looked for a house I really wasted 95% of my time because every house had one unique major flaw that would have made me not even bother going to see it.
2 months ago while looking for apartments, the majority of the pics shown were generated by AI. The pictures generated by AI often looked much more brighter, cleaner and larger and when I visited them in person, they were the opposite. I wasted so much time visiting due to this.
I understand the intention but the pictures are so wrong most of the time and hide so much imperfection that it should be illegal for false advertisement.
I received early access to test this model. (through work — Google still does not like me personally lol)
It works as advertised here, and it does behave like a distilled Nano Banana 2 with respect to certain elements such as good text rendering, which Nano Banana 1 does much worse with. It is definitely not at the level of the base Nano Banana 2 of course particularly with highly-nuanced prompts. My main criticism is that you cannot programmatically force aspect ratios with NB2L but you can with NB2.
That said, the price of $0.034/image is higher than expected since price is generally correlated with generation time, and it takes half the time to generate than a Nano Banana 1 image which costs $0.039/image. Google's assertion that you can directly replace NB1 pipelines with NB2L is fair.
Yesterday, Google announced that the Gemini app will allow free image generations (https://blog.google/innovation-and-ai/products/gemini-app/pe...) but did not specify which model would be used: I suspect it's the main motivation for Nano Banana 2 Lite.
You can set aspect ratios with NB2 Lite programmatically through Vertex [1]. I updated the program I use to help create all the images for GenAI Showdown, set the model ID to `gemini-3.1-flash-lite-image`, and was able to use aspect ratios like 16:9, 4:3, and others.
I read it as "Google is indifferent to me" rather than "Google specifically dislikes me", as a point of clarification that they didn't get access by being personally selected.
The speed is definitely impressive. I'm seeing under 5 seconds per image vs ~30 seconds for base NB2.
I built an app for my kids that generates illustrated stories for them with them as the characters. I wanted to prioritize likeness while still stylizing the illustrations. I tested a bunch of models but none seem to come close to maintaining likeness when stylized. I find the others generate generic looking characters.
I'm excited to incorporate this into the onboarding of my app since I want the users to experience the aha moment as soon as possible and waiting half a minute+ isn't ideal. I'll still be using the main NB2 for the actual illustrations as this lite version still has slight issues with nuance and consistency as others have pointed out.
Krea-2 is fantastic. If you can get around the restrictive license, output speed, and JSON prompting, Ideogram 4 probably comes the closest to SOTA models. See my profile for GenAI Showdown, where it's benched against other local and proprietary models.
It actually scored above Gemini 2.5 (aka the original NB) which is pretty impressive.
That is fair to point out. For those who don't know, ChatGPT Image 2 has an absurd ELO of 1387; compared to the #2 model at 1273, it's over 100 points higher (https://arena.ai/leaderboard/text-to-image). The tradeoff is latency, and ChatGPT Image 2 at High is...slow (~2 minutes at 1024x1024). In both cases it would have skewed the charts here to uselessness.
I want to do a writeup on ChatGPT Image 2 but at this point I don't think people care about nuanced image generation anymore...even though ChatGPT Image 2 crushes all my existing tests.
I definitely appreciated your post about Nano Banana Pro. It's also a genuinely useful time-capsule for how these systems evolve and where they fall short. I've preferred the output of ChatGPT Image 2. I think a post would be very helpful for folks to see what they're missing.
That arena leaderboard has some questionable results. Anyone who's used these models would know that ranking HiDream above Krea2 is a pretty hot take.
Many of these ELO comparative tests (ArtificialAnalysis is guilty as hell on this as well) also have other problems such as a considerable number of "amateur judges" tending to prioritize aesthetics over actual instruction-following given the prompt.
Also (less a critique of Arena.AI necessarily), but the MAI models are so incredibly locked down (e.g. censored) as to be functionally useless. I have a sneaking suspicion its fallout from Tay.
... does it? Are you seeing something I'm not seeing? Number one is that this just doesn't appear to be true (non-lite versions beat it across the board it seems), number two is that this specifically is a low-cost bulk model and not a SOTA frontier model, of course the benchmarks are lower.
I'm way behind in imagegen - only using it occasionally for roleplaying tokens, goofing around, and random personal assets. To me, this is nuts. It's able to create images in like 2 seconds... before with chatgpt it would take 30s-1m for the same quality image. I don't get the negative comments here
Wow, that's a pretty massive decrease in latency, which should unlock some use cases, but the linked web page doesn't exactly make it straightforward to understand the differences between the models.
However, based off my personal experiences with general images models, Google in my opinion is the best for my workflows. Granted, I haven't tried far-east providers yet.
Expensive and Google doesn't even have enough resources to decently deploy a model like that. Creating 10 images in parallel gives me RESOURCE_EXHAUSTED error, which is a painfully common error when using Google AI products.
> Google doesn't even have enough resources to decently deploy a model like that
Probably not for free but tbf, Google did scale "AI Mode" globally to its billion+ users, with its Gemini 3 series. Pretty much broke my habit of searching the web with pplx & Chat.
Nano Banana is head and shoulders above the rest, but still too steep for personal use, and half off doesn't really mean much for enterprise if the results are worse. Hopefully this drives the rest to catch up at least.
The first example of generating home interiors fills me with indescribable hatred. Recently real estate agents have taken to running every dilapidated unsellable apartment through these AI filters, and you have to scroll through a dozen of these Ikea-chic images of what the apartment presumably could look like, before you are allowed to see the horrors they are trying to peddle at insane prices.
I think that should be illegal and misrepresenting. Lots of gray area with AI usage.
Why should that be illegal? It’s multiplying the productivity of our economy, instead of someone having to waste time and money making the apartment actually look like that, you can just generate an image of it, that’s massive productivity boost with no harm done to the final product, unless the tenant cares about the slippage between a generated image of an apartment that looks nice and an apartment that’s actually nice.
And plus thats time the real estate agent could have spent prompting claude to cure cancer so its a double win
I'm not sure if you're being serious but it should be illegal because they're producing images that are often not physically possible. At least if an agent stages an apartment with real furniture they are doing something a tenant really could do. But these AI images tend to change the physical dimensions of a room, use images of furniture that don't make sense dimensionally, shift the "natural" light of the room in a way that the sun will never provide and sometimes even change the view through the windows of the room.
I think their last sentence is a pretty clear indicator that they were not being serious.
As with bitcoin fans before them, Poe's Law is in full effect with the AI boosters.
What, after all, is a bit of light fraud, if it saves an estate agent some time?
Wouldn't that fall under existing false advertising laws, if you're putting fake/altered images in the listing?
It should, I would assume. But for some reason, it seems nobody is enforcing consumer protections like they used to.
Pretty soon they'll take the stickers off mowers warning people to not put their hand under it while it's running.
The world isn't in a good place...
And it's borderline fraud, I think I saw an apartment on Streeteasy where they were able to 'fit' an entire desk, drawers and a queen size bed, obviously these image models just scale these down to proportions that just don't exist in real life.
the actual bedroom could only fit queen size bed ;(
How is that borderline, that’s just actual fraud.
In a sane world, this would be a clear cut case of false advertisement, and the real estate agents would be held liable for fraud. Sadly, we don't live in a sane world.
Just having a good photographer is amazing. When my friend was selling their place I was amazed and how good the house looked in the listing. How big it looked, when I know it was not big. This was before AI filters were available. So not a new issue but certainly made worse and cheaper to do.
Where I live (NYC) putting altered images like that has been the norm for more than a decade.
It’s just used to be more expensive to hire someone to do it for you.
The altered images always e free stirs the same bright walls and grey magazine style furniture.
AI is just making it cheaper, but this was bound to happen.
(Images altered this way do have a small watermark stating so)
Also NYC. A classic was mounting a bright light outside a window so it appears as “sun-drenched” as the description claimed.
(Unrelated, my favorite one was getting to the apartment and learning the “bedroom” was a flex wall in the kitchen)
AI has very uniquely made creating these faked/impossible layout images one of the cheapest & easiest things you can do at the moment, even if it didn't introduce the concept. Simultaneously, AI has had very little cost reduction impact on much else. This change in relative balance is how AI has created the new version of the problem and it's not apparent how this imbalance was always bound to occur without AI.
Accepting 100% that it should be in some way deemed unacceptable (socially or legally) to fake what an apartment actually looks like, I did find using an image model really helpful in making design choices for my bathroom remodel. Mostly about whether to tile certain things where we couldn't quite visualize ourselves what the effect on the entire space would be.
There needs to be lawsuits over stuff like that. I don't get why people accept blatant false advertising just cause the tech used to do it is new. They may as well be uploading pictures of a real, nicer apartment with a similar layout. What's the difference?
Honestly a great start up would be a review system for house listings.
Users can rate how accurate the description was, the real life flaws and even upload their own photos.
Side note: last time I looked for a house I really wasted 95% of my time because every house had one unique major flaw that would have made me not even bother going to see it.
This!!
2 months ago while looking for apartments, the majority of the pics shown were generated by AI. The pictures generated by AI often looked much more brighter, cleaner and larger and when I visited them in person, they were the opposite. I wasted so much time visiting due to this.
I understand the intention but the pictures are so wrong most of the time and hide so much imperfection that it should be illegal for false advertisement.
I received early access to test this model. (through work — Google still does not like me personally lol)
It works as advertised here, and it does behave like a distilled Nano Banana 2 with respect to certain elements such as good text rendering, which Nano Banana 1 does much worse with. It is definitely not at the level of the base Nano Banana 2 of course particularly with highly-nuanced prompts. My main criticism is that you cannot programmatically force aspect ratios with NB2L but you can with NB2.
That said, the price of $0.034/image is higher than expected since price is generally correlated with generation time, and it takes half the time to generate than a Nano Banana 1 image which costs $0.039/image. Google's assertion that you can directly replace NB1 pipelines with NB2L is fair.
Yesterday, Google announced that the Gemini app will allow free image generations (https://blog.google/innovation-and-ai/products/gemini-app/pe...) but did not specify which model would be used: I suspect it's the main motivation for Nano Banana 2 Lite.
but until this comes to edge gallery i won't care
You can set aspect ratios with NB2 Lite programmatically through Vertex [1]. I updated the program I use to help create all the images for GenAI Showdown, set the model ID to `gemini-3.1-flash-lite-image`, and was able to use aspect ratios like 16:9, 4:3, and others.
[1] - https://cloud.google.com/developers/vertex-ai
> Google still does not like me personally lol
Please elaborate.
I read it as "Google is indifferent to me" rather than "Google specifically dislikes me", as a point of clarification that they didn't get access by being personally selected.
What kind of work are you doing that requires automated image generation at scale?
How do you get the ~real time prototype things shown in the "hands on" section of this page?
gemini.g lets you add a canvas or use image gen, but it isn't clear to me how you stick in the "space lift" prompt and out comes what is demo'd
The speed is definitely impressive. I'm seeing under 5 seconds per image vs ~30 seconds for base NB2.
I built an app for my kids that generates illustrated stories for them with them as the characters. I wanted to prioritize likeness while still stylizing the illustrations. I tested a bunch of models but none seem to come close to maintaining likeness when stylized. I find the others generate generic looking characters.
I'm excited to incorporate this into the onboarding of my app since I want the users to experience the aha moment as soon as possible and waiting half a minute+ isn't ideal. I'll still be using the main NB2 for the actual illustrations as this lite version still has slight issues with nuance and consistency as others have pointed out.
I tried something like that but an error told me it couldn't do anything with children. Did that change?
Haven't experienced any errors related to children. Will get the random copyright error though.
I loved Nano Banana Pro. Are there local alternatives yet? I heard about Qwen Image, Klein and recently Krea, any suggestions?
Krea-2 is fantastic. If you can get around the restrictive license, output speed, and JSON prompting, Ideogram 4 probably comes the closest to SOTA models. See my profile for GenAI Showdown, where it's benched against other local and proprietary models.
It actually scored above Gemini 2.5 (aka the original NB) which is pretty impressive.
They didnt include chatgpt in the comparison chart. That tells a lot
That is fair to point out. For those who don't know, ChatGPT Image 2 has an absurd ELO of 1387; compared to the #2 model at 1273, it's over 100 points higher (https://arena.ai/leaderboard/text-to-image). The tradeoff is latency, and ChatGPT Image 2 at High is...slow (~2 minutes at 1024x1024). In both cases it would have skewed the charts here to uselessness.
I want to do a writeup on ChatGPT Image 2 but at this point I don't think people care about nuanced image generation anymore...even though ChatGPT Image 2 crushes all my existing tests.
I definitely appreciated your post about Nano Banana Pro. It's also a genuinely useful time-capsule for how these systems evolve and where they fall short. I've preferred the output of ChatGPT Image 2. I think a post would be very helpful for folks to see what they're missing.
That arena leaderboard has some questionable results. Anyone who's used these models would know that ranking HiDream above Krea2 is a pretty hot take.
Many of these ELO comparative tests (ArtificialAnalysis is guilty as hell on this as well) also have other problems such as a considerable number of "amateur judges" tending to prioritize aesthetics over actual instruction-following given the prompt.
Also (less a critique of Arena.AI necessarily), but the MAI models are so incredibly locked down (e.g. censored) as to be functionally useless. I have a sneaking suspicion its fallout from Tay.
https://en.wikipedia.org/wiki/Tay_(chatbot)
It's sort of amazing that Grok's image model beats Nano Banana on nearly every one of the metrics they chose to highlight.
... does it? Are you seeing something I'm not seeing? Number one is that this just doesn't appear to be true (non-lite versions beat it across the board it seems), number two is that this specifically is a low-cost bulk model and not a SOTA frontier model, of course the benchmarks are lower.
I'm way behind in imagegen - only using it occasionally for roleplaying tokens, goofing around, and random personal assets. To me, this is nuts. It's able to create images in like 2 seconds... before with chatgpt it would take 30s-1m for the same quality image. I don't get the negative comments here
Different use cases.
People making images, where the image is the focal point, want to spend more per image.
Where images are parts of reports or throwaways or demos, cheap is the better approach.
ChatGPT detail is a lot better though. You can do stuff like complex 6-panel comics that Nano Banana can't match.
Also a lot of the negative comments are from people who hate the very idea of AI art and want it to fail.
Wow, that's a pretty massive decrease in latency, which should unlock some use cases, but the linked web page doesn't exactly make it straightforward to understand the differences between the models.
However, based off my personal experiences with general images models, Google in my opinion is the best for my workflows. Granted, I haven't tried far-east providers yet.
What does everyone else think?
Expensive and Google doesn't even have enough resources to decently deploy a model like that. Creating 10 images in parallel gives me RESOURCE_EXHAUSTED error, which is a painfully common error when using Google AI products.
> Google doesn't even have enough resources to decently deploy a model like that
Probably not for free but tbf, Google did scale "AI Mode" globally to its billion+ users, with its Gemini 3 series. Pretty much broke my habit of searching the web with pplx & Chat.
It seems to respond to edits much better than the current production image model, which often stubbornly locks on to prior iterations of the images.
NB2 is an impressive tool. Camera File -> Heavy Changes in NB2 -> Final Tweaks in Photoshop -> Production Image
Can it do that with high fidelity to the source; e.g., denoise and restore?
gemini is so far behind. starting to wonder if their strategy is launching the low cost alternative to image/text models. last release was 3.5 flash
Imagine saying Gemini is so far behind when Llama has unreleased max models from last year that are currently beat by quantized Qwen2.5 models.
People inside deep mind are using Claude code
Whats the use cases where cheaper and faster img models are key differentiators?
I mean 3 cents compared to 6 cents doesnt seem like much in my mind-unless youre running a consumer saas
It's only half the full model price, $30/m output: https://cloud.google.com/gemini-enterprise-agent-platform/ge...
Nano Banana is head and shoulders above the rest, but still too steep for personal use, and half off doesn't really mean much for enterprise if the results are worse. Hopefully this drives the rest to catch up at least.
Where is the pelican on bicycle test results?