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The bar for me is not that it's recognizably consistent. It's actual consistence. For something like this to cross the commercial viability threshold stuff needs to stay on model.
The character needs to stay consistent in different lighting conditions, angles and FOVs.
Finally it needs to be able to handle unique appearences, not average pretty faces and clothes.
The issue isn't that it's impossible to make a video of a character from an image be consistent with that image. Although in my opinion we're still not there. The difficulty arrises from the fact that such a video will inevitably have to conjure up new details in the process. Keeping the newly created information consistent with the next generated clip gets exponentially harder with each new clip and required context. Similar to how LLMs fail if the context is long enough.
I doubt you can make something like bill gates wearing tiger face paint and a floppy sleeping cap from a flat front shot, to an over the shoulder partial view, to a side view without messing up the direction of the flop of the cap or the position/amount of tiger stripes in the make-up.
Not going to bet money on it because I'm sure with enough tries it's doable, I'm just illustrating a point that the amount of stripes and flops or whatever is essentially the same as subtle facial features like the angle of the jaw or the tilt of the eyes.
The technology is fundamentally just not designed for this sort of thing. There's tons of workarounds and it will still be very impactful, you can work within the constraint to achieve amazing stuff, but the constraints are still there.
Bruh, you have absolutely no idea what you're talking about.
Elaborate, or refrain from comments that are nothing more than "Nuh uh!"
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