the hard part of ai filmmaking isnt video quality anymore

Reddit r/artificial News

Summary

The article discusses how the main challenge in AI filmmaking has shifted from video quality to maintaining continuity across episodes, suggesting production management approaches like show bibles and controlled shot generation.

i watched a bunch of people building ai micro drama series and noticed something interesting. the biggest problem isnt really "can ai generate a good looking video?" anymore. its continuity. making one cool 10 second clip is easy. making episode 8 look like it belongs to the same show as episode 1 is MUCH harder. faces drift. clothes change. locations randomly change. voices change. props disappear. and every new generation basically has no idea what happened before unless you give it that information again. the workflows that seemed to work best treated the project more like an actual film production: create a show bible first, lock character sheets, lock recurring locations, decide wardrobe, storyboard the episode then generate shots from those references instead of generating everything from scratch. one creator in the stuff i was researching made 10 vertical episodes, around 90-120 sec each, with 3 people in 3 working days. but the important part wasnt faster generation. it was having a "source of truth" for the entire season. another useful tip i picked up: shorter shots are often better. trying to make the model perfectly execute a complicated 60 second scene with multiple characters/actions gives it way more opportunities to screw something up. generate smaller controlled shots and edit them together. max 30 seconds id say basically we're reaching the point where ai filmmaking is becoming less of a prompting problem and more of a production management problem. which is kinda wild.
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