card: say plainly that the LoRA adds no compute; the nodes stretch the clock, the LoRA changes behaviour on it

README.md

@@ -32,7 +32,12 @@ known bad habit: on very fast motion the base model over-produces, and the
 result alternates between advance and snap frame to frame. This adapter
 was trained on that exact task (frames held out of the middle of a burst,
 the model asked to fill them back in), and it teaches the base model to
-spend the extra clock on smoothness instead of invention.
+spend the extra clock on smoothness instead of invention. To be precise
+about the mechanics: the LoRA is a plain rank-16 weight delta and adds no
+compute and needs no custom node. The extra clock comes from the nodes
+(the de-rope stretches the burst into more latent tokens); the LoRA
+changes how the model behaves on that stretched clock, because it was
+trained in that exact situation.
 
 Measured on four clips the adapter never saw during training (a fight,
 an anime sword ring, a character swap, a dialogue close-up), against the