341–350 of 718 posts
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the open-source models will catch up, 100%
Open models don't seem to be catching up the LLM-based image gen at this point. ChatGPT's imagegen has been released for half a year but there isn't anything remotely similar to it in the open weight realm.
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…
Wow! I was able to combine Nano Banana Pro and Veo 3.1 video generation in a single chat and it produced great results. https://chat.vlm.run/c/38b99710-560c-4967-839b-4578a4146956 . Really cool model
The interesting tidbit here is SynthID. While a good first step, it doesn't solve the problem of AI generated content NOT having any kind of watermark. So we can prove that something WITH the ID is AI generated but we can't prove that something without one ISN'T AI generated. Like it would be nice if all photo and video generated by the big players would have some kind of standardized identifier on them - but now you…
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That IS the use-case for Nano Banana (as opposed to pure generative like Imagen4). In my benchmarks, Nano-Banana scores a 7 out of 12. Seedream4 managed to outpace it, but Seedream can also introduce slight tone mapping variations. NB is the gold standard for highly localized edits. Comparisons of Seedream4, NanoBanana, gpt-image-1, etc. https://genai-showdown.specr.net/image-editing
I tried your "Remove all the brown pieces of candy from the glass bowl." prompt against Nano Banana Pro and it converted them to green, which I think is a pass by your criteria. Original Nano Banana had failed that test because it changed the composition of the M&Ms. https://static.simonwillison.net/static/2025/brown-mms-remov...
EDIT: Finished the comparisons. NB Pro scored a few more points than NB which was already super impressive.
https://genai-showdown.specr.net/image-editing?models=nb,nbp
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Reminder that even in the hypothetical world where every AI image is digitally watermarked, and all cameras have a TPM that writes a hash of every photo to the blockchain, there’s nothing to stop you from pointing that perfectly-verified camera at a screen showing your perfectly-watermarked AI image and taking a picture. Image verification has never been easy. People have been airbrushed out of and pasted into photos…
Competent digital watermarks usually survive the 'analog hole'. Screen-cam resistant watermarks have been in use since at least 2020, and if memory serves, back to 2010 when I first starting reading about them, but I don't recall what it was called back then.
Photo-of-a-screen: https://gemini.google.com/share/ab587bdcd03e
It reported 25-50% for the image without having been through that analog hole: https://gemini.google.com/share/022e486fd6bf
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…
You can use it also in Gemini.
Incredible technology, don't get me wrong, but still shocked at the cumbersome payment interface and annoyed that enabling Drive is the only way to save.
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…
Maybe I'm an obscure case, but I'm just not sure what I'd use an image generation model for. For people that use them (regularly or not), what do you use them for?