Directing AI Video Models: Why Every Frame Must Be Engineered, Not Captured
A developer documented hard-won lessons from producing a 10-episode AI-generated video series using image-to-video models. Unlike real cameras, these models have no spatial memory — they invent new pixels by statistically guessing what should fill any area outside the original still image. Continuity must be manually re-declared every clip, as the model has no awareness that consecutive shots share the same character or setting. The model also tends to hallucinate extra figures, clutter, and environmental details unless explicitly instructed otherwise in every prompt. The author concludes that directing such a model is less about choosing what to show and more about carefully restricting what the model is allowed to imagine.
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