How it works
Temporal consistency is arguably the most important quality metric for AI video. A temporally consistent video maintains stable appearance of all visual elements across frames: objects do not flicker, textures do not shift, colors do not pulse, and edges do not waver. Poor temporal consistency produces distracting artifacts that immediately identify content as AI-generated. Achieving temporal consistency requires the model to consider not just each individual frame but the relationships between frames. Models that use temporal attention mechanisms or explicit frame-to-frame conditioning tend to produce better temporal consistency. Among current tools, Runway Gen-4 and Veo 3.1 demonstrate the strongest temporal consistency.
01What does temporal consistency mean in AI video?+
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