I recently tested Seedance 2.5 with a short fashion/editorial sequence where the character appears across different outfits, compositions, and visual styles.
What I wanted to observe was not simply overall image quality, but how well the model could preserve a coherent character and visual identity while several other elements were changing at the same time.
The sequence includes close-up portrait framing, fashion-focused shots, graphic compositions, outfit changes, and stronger red-and-black editorial scenes.
Overall, the character identity remains fairly coherent across the sequence, which I found more interesting than the realism of any individual frame.
There are still details worth watching closely.
Facial features can shift slightly between shots, and once clothing, framing, movement, and composition all change together, small inconsistencies become much easier to notice.
For practical creative workflows, I think this leads to a more useful question than simply asking whether an AI-generated video looks realistic:
How much visual variation can a video model handle before character identity starts to break down?
I’m curious what others are seeing with recent video-generation models.
When you test character consistency, what tends to fail first — facial identity, clothing details, body proportions, motion, or camera behavior?