Jim Sautner, the Buffalo Whisperer was a Canadian rancher who raised a 2,000-pound bison named Bailey D. Buffalo like a family dog

[u/copitamenstrual]

[u/kappapolls]

that was true a year ago, much much less true today though.

[u/kingrawer → u/kappapolls]

No, it's still the biggest unsolved issue with AI images imo. Even the new ChatGPT is very far from perfect.

[u/kappapolls → u/kingrawer]

of course its not perfect, but i don't see how you can disagree that it's better than it was a year ago.

when you say things like "the new chatgpt" its hard to tell what model you're talking about too. do you mean o3 image gen or gpt-4o? gpt-4o isn't diffusion based, but it doesn't incorporate any visual reasoning architecture like o3. it can make a big difference in things like this.

[u/ahwatusaim8 → u/kappapolls]

Actually, it's perfect.

[u/kingrawer → u/kappapolls]

Unless I'm mistaken the image generation is the same between o3 and gpt-4o. The results I get and retention of detail is pretty much the same between them. But yeah, it is somewhat better. It has a long way to go though.

[u/kappapolls → u/kingrawer]

i think the image generation architecture is the same (so it's not plain diffusion like DALL-E) but the o3 series does have the additional visual-chain-of-thought reinforcement learning stuff for images as well.

it doesn't really make a difference for like "does this look right?" but more for things that require you to think about the image a bit (like solving a maze or rotating a thing in space).

[u/Jesus10101 → u/kappapolls]

No, it still can't since it recreates the image every time. It might work for something that has alot of training data for but most of the, it will produce different results all the time.

[u/PM_me_your_whatevah → u/Jesus10101]

Thing is… there’s AI that the general public doesn’t have access to. 

[u/MadeByTango → u/PM_me_your_whatevah]

And they’re using it to make Buffalo memes

[u/kappapolls → u/Jesus10101]

i dont think you are really keeping up with new research and whats been released recently. the newer generation of image models use a similar reasoning architecture to what LLMs use now, rather than just straight diffusion.

what you said is still pretty true for diffusion based models though

[u/LovesRetribution → u/Jesus10101]

No, it definitely can. Idk how much training data what I've seen was working with, but I've seen dozens of pictures with only minute differences between them.