With every shot requiring a brand new set of prompts, it’s additionally laborious to instill a way of continuity all through a video. The colour, angle of the solar, and shapes of buildings are troublesome for a video era mannequin to maintain constant. The video additionally lacks any close-ups of individuals, which Kahn says AI fashions nonetheless are inclined to battle with.
“These technologies are always better on large-scale things right now as opposed to really nuanced human interaction,” he says. For this cause, Kahn imagines that early filmmaking purposes of generative video is likely to be for extensive pictures of landscapes or crowds.
Alex Mashrabov, an AI video skilled who left his function as director of generative AI at Snap final 12 months to discovered a brand new AI video firm known as Higgsfield AI, agrees on the present failures and flaws of AI video. He additionally factors out that good dialogue-heavy content material is difficult to provide with AI, because it tends to hinge upon delicate facial expressions and physique language.
Some content material creators could also be reluctant to undertake generative video just because of the quantity of time required to immediate the fashions many times to get the finish outcome proper.