[nkingsy]

The example of the cat and detective hat shows that even with the latest update, it isn't "editing" the image. The generated cat is younger, with bigger, brighter eyes, more "perfect" ears.

I found that when editing images of myself, the result looked weird, like a funky version of me. For the cat, it looks "more attractive" I guess, but for humans (and I'd imagine for a cat looking at the edited cat with a keen eye for cat faces), the features often don't work together when changed slightly.

[porphyra]

Chatgpt 4o's advanced image generation seems to have a low-resolution autoregressive part that generates tokens directly, and an image upscaling decoding step that turns the (perhaps 100 px wide) token-image into the actual 1024 px wide final result. The former step is able to almost nail things perfectly, but the latter step will always change things slightly. That's why it is so good at, say, generating large text but still struggles with fine text, and will always introduce subtle variations when you ask it to edit an existing image.

[BriggyDwiggs42]

Has anyone tried putting in a model that selects the editing region prior to the process? Training data would probably be hard, but maybe existing image recognition tech that draws rectangles would be a start.

[ilynd]

Genuine question - how would such a model "edit" the image, besides manipulating the binary? I.e. changing pixel values programmatically