Same face with different accessories and expressions—will the two models switch to a different person?

PixVerse posted a comparison video on X comparing the facial consistency of Seedream 5.5 and GPT Image 2.5. The test method is straightforward: the same face, different accessories, different expressions, to see whether the two models can still make people recognize it as the same person.

Facial consistency is a very practical issue in generated images. It is not hard to make a single image look good; the hard part is that after the character puts on new accessories and makes new expressions, the face shape, facial feature proportions, and expression do not drift. People doing character design, avatar series, and reuse of advertising characters will be more sensitive to this.

This video does not give a slogan-like winner/loser conclusion; the point is to lay out the process of change. When watching, you can pay attention to a few things: whether the positions of facial features remain stable after changing accessories, whether the bone structure remains coherent after changing expressions, and whether it suddenly turns into another face during continuous changes. For ordinary users, the criterion is also simple: cover the accessories and expressions, look only at the face, and see whether it is still recognizable.

In the replies, Ameen said directly: damn that's smooth consistency. The meaning is clear: he thinks the consistency is very smooth. Of course, this is a judgment from one reply; ultimately you still have to look at the actual performance in the video.

Seedream 5.5 is now live on PixVerse. If you want to try it yourself, you can enter here:

PixVerse entry

The value of this kind of comparison is not in the parameter table, but in whether the model shows weakness under real changes. Only if the same face is still recognizable after three accessory and expression changes has it crossed the threshold for character reuse.