← Back to all guides
Developer View2026.5.22 · AI video
The AI video consistency problem, and how we think about it
LickMV · Technical note · About 1,900 words

Ask almost any AI video team what the hardest technical problem is, and most will say the same thing: consistency.

It sounds simple and is very hard. A model can generate a beautiful clip, but when it generates the next one, the character may change face, the lighting may shift, or an object may subtly change shape.

Single frame
AI can already look strong
Across frames
Consistency is the real difficulty
Full video
Overall coherence is the challenge

For single-image generation, this is acceptable. One image is one image. But for a music video, it is fatal. A music video is continuous storytelling across time. If the visual identity breaks, it becomes a slideshow.

The hardest AI video problem is consistency
Our approach has two layers
Layer one
Style locking
When the user chooses a visual style, we pass more detailed constraints through each generation step: color range, lighting mode, line style, and other signals that keep frames inside the same visual space.
Layer two
Frame reference
Later frames can use earlier frames as visual references, so the model is not only generating pretty images but also staying aware of continuity.
This is not about showing off technology
We cannot claim the problem is fully solved. We can only make it acceptable for this product's use case and improve as the models improve.

AI video is still early, but early does not mean useless. It means users who enter now will witness the technology moving from rough to mature.

That is what makes it interesting.

Not every product lets users watch a technology grow up. If you care about AI video, what you see today will be very different from what you see half a year later.

Question: how long do you think AI video consistency will take to become truly reliable?