film-pipeline
AI Short Film Pipeline (router)
Why this pipeline exists
A video model has no memory. It only knows what the current prompt and the current reference images tell it. Every failure in the source course — a third chair, a character in a different seat, a grandfather with the hero's face, waxy hands, scribbled notebook text, a smile after a crying scene — was the model filling a gap the prompt left open. So the whole discipline is: close every gap before spending credits, and when randomness still wins, fight it with parallel takes, not with one-at-a-time rerolls.
We have the advantage of hindsight. The course taught these lessons one failure at a time because that is how humans learn; a skill should not repeat the failures. It should encode the final state of knowledge and aim for first-pass success, then use parallelism to absorb what randomness remains.