Update README.md

Author: kinam0252

examples/community/README.md

@@ -96,7 +96,7 @@ pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion
 
 **Junha Hyung\*, Kinam Kim\*, Susung Hong, Min-Jung Kim, Jaegul Choo**
 
-**KAIST AT, University of Washington**
+**KAIST AI, University of Washington**
 
 [*Spatiotemporal Skip Guidance (STG) for Enhanced Video Diffusion Sampling*](https://arxiv.org/abs/2411.18664) (CVPR 2025) is a simple training-free sampling guidance method for enhancing transformer-based video diffusion models. STG employs an implicit weak model via self-perturbation, avoiding the need for external models or additional training. By selectively skipping spatiotemporal layers, STG produces an aligned, degraded version of the original model to boost sample quality without compromising diversity or dynamic degree.