How does AI video generation work?

Two different things share the name, and the difference decides which tool you want.

Diffusion models generate footage. They start from noise and denoise it toward something matching your prompt, frame by frame, with extra machinery to keep consecutive frames coherent. That coherence problem is why AI clips are short — holding consistency past about ten seconds is still hard, and cost rises steeply with length.

Pipelines assemble a video. Rather than generating continuous footage they generate the parts — a script from a language model, one image per scene, a voice track from a text-to-speech model, captions timed to the audio — and compose them. Leaxor works this way.

The trade is straightforward. Diffusion gives you photoreal motion in short, expensive, hard-to-control clips. Pipelines give you a complete, cheap, consistent video that looks illustrated rather than filmed.

Neither is more advanced than the other. They answer different questions, and most confusion in this category comes from comparing them as though they answered the same one.