prompting guides

Motion prompting fundamentals

Orient teams who jump from LLM wording to latent video tooling: your ‘prompt’ influences both semantics and deformation energy.

Two levers: structure vs style

Powerful video-to-video systems let you chase bold stylization—but high transformation energy can shear motion coherence. Describe appearance stack (print halftone, ceramic stop-motion tactility, anamorphic haze) separately from motion fidelity instructions (“maintain gait timing; preserve fingertip choreography”). When a platform exposes numerical structure knobs, sweeping changes belong on the stylistic axis first, structural second.

Prompt density

  • Short evocative prompts occasionally succeed; richer prompts outperform when you anchor palette, grain, focal distance, atmospheric particles.
  • For stylized overlays on UI screen recordings, obsess over text legibility invariants—explicitly forbid warping monospace columns.
  • Honor duration discipline: latent tools often bill coarse time increments—sketch arcs in beats that survive trimming.

Reference frames

When injecting an image-conditioned first frame, align composition with genuine frame zero whenever continuity matters—misaligned starters produce jump-cuts corrected only by expensive re-generation or manual edits.

Dailies workflow

Batch generate short loops before assembling long arcs. Apply single-change critiques (“raise contrast of rim light”, “suppress particle density in foreground occlusion”) analogous to iterative GPT Image edit cadence—drift compounds across chained latent steps.