261–270 of 504 posts
This is the gpt 4 moment for image editing models. Nano banana aka gemini 2.5 flash is insanely good. It made a 171 elo point jump in lmarena! Just search nano banana on Twitter to see the crazy results. An example. https://x.com/D_studioproject/status/1958019251178267111
This is the gpt 4 moment for image editing models. Nano banana aka gemini 2.5 flash is insanely good. It made a 171 elo point jump in lmarena! Just search nano banana on Twitter to see the crazy results. An example. https://x.com/D_studioproject/status/1958019251178267111
I've been testing it for several weeks. It can produce results that are truly epic, but it's still a case of rerolling the prompt a dozen times to get an image you can use. It's not God. It's definitely an enormous step though, and totally SOTA.
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Before a model is announced, they use codenames on the arenas. If you look online, you can see people posting about new secret models and people trying to guess whose model it is.
What are "the arenas"?
I am glad that I never decided to become a photoshop pro. I always contemplated about it, seemed attractive for a while, but glad that I decided against it. RIP r/photoshopbattles. It was in the endless list of new shiny 'skills' that feels good to have. Now I can use nano-banana instead. Other models will soon follow, I am sure.
Interesting take. I'm a programmer, but learned Photoshop in the early 2000s and had a blast making and editing images for fun. Sure, the generative models today can do a far better job than anything I could come up with, but that doesn't detract from the experience and skills I picked up over the years. If anything, knowing Photoshop (I use Affinity Designer/Photo these days) is actually incredibly useful to finesse…
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I've been testing it for several weeks. It can produce results that are truly epic, but it's still a case of rerolling the prompt a dozen times to get an image you can use. It's not God. It's definitely an enormous step though, and totally SOTA.
Is it because the model is not good enough at following the prompt, or because the prompt is unclear? Something similar has been the case with text models. People write vague instructions and are dissatisfied when the model does not correctly guess their intentions. With image models it's even harder for model to guess it right without enough details.
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I've been testing it for several weeks. It can produce results that are truly epic, but it's still a case of rerolling the prompt a dozen times to get an image you can use. It's not God. It's definitely an enormous step though, and totally SOTA.
If you compare to the amount of effort required in Photoshop to achieve the same results, still a vast improvement
https://imgur.com/a/internet-DWzJ26B
Anyone can make images and video now.
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> This is the gpt 4 moment for image editing models. No it's not. We've had rich editing capabilities since gpt-image-1, this is just faster and looks better than the (endearingly? called) "piss filter". Flux Kontext, SeedEdit, and Qwen Edit are all also image editing models that are robustly capable. Qwen Edit especially. Flux Kontext and Qwen are also possible to fine tune and run locally. Qwen (and its video gen s…
I'm confused as well, I thought gpt-image could already do most of these things, but I guess the key difference is that gpt-image is not good for single point edits. In terms of "wow" factor it doesn't feel as big as gpt 3->4 though, since it sure _felt_ like models could already do this.
I feel like most of the people on HN are paying attention to LLMs and missing out on all the crazy stuff happening with images and videos.
LLMs might be a bubble, but images and video are not. We're going to have entire world simulation in a few years.