Add context on LoRA purpose: simplifying image-to-video workflows

README.md

@@ -4,7 +4,9 @@ A high-rank LoRA adapter for [LTX-Video 2](https://github.com/Lightricks/LTX-Vid
 
 ## What This Is
 
-This LoRA was trained on **30,000 generated videos** spanning a wide range of subjects, styles, and motion types. The result is a highly generalized adapter that strengthens LTX-2's ability to take a single image and produce coherent, high-fidelity video from it.
+Out of the box, getting LTX-2 to reliably infer motion from a single image requires heavy workflow engineering -- ControlNet stacking, image preprocessing, latent manipulation, and careful node routing. The purpose of this LoRA is to eliminate that complexity entirely. It teaches the model to produce solid image-to-video results from a straightforward image embedding, no elaborate pipelines needed.
+
+Trained on **30,000 generated videos** spanning a wide range of subjects, styles, and motion types, the result is a highly generalized adapter that strengthens LTX-2's image-to-video capabilities without any of the typical workflow overhead.
 
 ### Key Specs