There could be edge cases, but fine tuning doesn't normally concentrate on a single specific feature. With positive and negative examples you could definitely train the eyes, but it's not what people usually do. Fine tuning is widely used to provide a specific style, clothes, or other larger scale elements.
> There could be edge cases, but fine tuning doesn't normally concentrate on a single specific feature.
Normally is being strained here: yes, most finetuning isn't for things like this, but quite a substantial minority is for more accurate rendering of some narrow specific feature, especially ones typically identified as signature problems of AI image gen; publicly identifying this as a way to visually distinguish AI gens makes it more likely that fine tuning effort will be directed at addressing it.
