GFX-301g · Module 1

Temporal Consistency

4 min read

Temporal consistency is the animation equivalent of style consistency — every frame must look like it belongs to the same video. In AI-generated animation, consistency degrades over time: colors drift, shapes morph, lighting changes, and by second 10, the video looks like it was made by a different model than second 1.

Controlling temporal consistency requires anchor frames. An anchor frame is a reference image that the model uses to maintain visual identity across the sequence. Technique 1 — First-Frame Anchoring: provide the first frame as a reference image, then let the model generate subsequent frames with explicit instructions to maintain visual continuity with the first frame. This works for 4-6 seconds of generated content. Technique 2 — Periodic Anchoring: provide an anchor frame every 3 seconds. The model resets its "visual memory" at each anchor, preventing cumulative drift. This extends usable generation to 15-20 seconds. Technique 3 — Bookend Anchoring: provide the first and last frames, and let the model interpolate between them. This constrains the generation to a known start and end state, reducing drift in the middle.

For brand animation, first-frame anchoring with the style specification's representative image as the anchor is the standard approach. The anchor image carries the brand DNA — palette, composition, texture — and the model propagates it through the sequence.

Do This

  • Use anchor frames every 3-5 seconds for sequences longer than 5 seconds
  • Provide the brand style specification image as the first-frame anchor
  • Evaluate temporal consistency at 3 checkpoints: beginning, middle, end of the sequence

Avoid This

  • Generate 15-second sequences without anchors — the model will drift after 5 seconds
  • Use a generic reference as the anchor — the anchor defines the visual identity of the entire sequence
  • Evaluate only the first and last frames — the middle is where drift hides