I’d do this as an RL post training step maybe…

The model already ingests text, so you just to attach a tiny VLM head that reviews the image and read / writes scene continuity text tokens.

Once you have that you can probably just RL with scoring on continuity issues and eventually the VLM head will learn to update dense continuity tokens?

So many fun wierd experiments to run if you have some compute to mess with. There are competent open video diffusion models that you could test this concept easily enough.