398

Rule (lemmy.blahaj.zone)

submitted 4 months ago by Persona3Reload@lemmy.blahaj.zone to c/196@lemmy.blahaj.zone

10 comments fedilink hide all child comments

you are viewing a single comment's thread
view the rest of the comments

[-] Mixel@feddit.de 8 points 4 months ago

To train a diffusion model that only outputs one image with difference is I think not possible you could do an image to image and then fix the seed so you would get a consistent result and then picking the nearest result that is nearly an identical copy

[-] themoonisacheese@sh.itjust.works 15 points 4 months ago

It very much is possible. It'll only ever output that one image and it's a huge waste of resources but it's very much possible.

[-] Hjalamanger@feddit.nu 9 points 4 months ago

It's very much possible and indeed such a problem that it may be done by mistake if a large enough data set isn't used (see overfitting). A model trained to output just this one image will learn to do so and over time it should learn to do it with 100% accuracy. The model would simply learn to ignore whatever arbitrary inputs you've given it