Which AI video tools keep characters consistent between scenes?

Character consistency is the standard failure of AI video, because most tools generate each clip independently — the subject in scene three doesn't match the subject in scene seven.

Three approaches work to different degrees. Reference-image conditioning (Runway, Kling, some Midjourney workflows) holds a character roughly steady but drifts over a long sequence. Trained character models (LoRAs on Stable Diffusion, Leonardo) are far more consistent but need setup per character. A fixed illustration style — Leaxor's approach — is consistent by construction, because every scene is drawn in the same system rather than re-imagined.

The trade-off is real: a fixed style gives up photorealism. If your content needs a specific real-looking person, a trained model is the better route despite the setup.

Why it matters beyond aesthetics: consistency across videos is what makes a channel recognisable in a feed. Viewers associate a look with a channel before they read the title, and that association is what converts a view into a subscribe.