Add model card

This PR adds a model card with the appropriate `text-to-video` pipeline tag and links to the paper, project page, code repository, and checkpoints.

README.md

@@ -1,3 +1,13 @@
 ---
 license: apache-2.0
+pipeline_tag: text-to-video
 ---
+
+# ForcingBooster
+
+ForcingBooster is a general framework that dynamically allocates denoising steps to individual patches in autoregressive video diffusion models, reducing total computation by about 50% while maintaining visual quality comparable to the four-step baseline.
+
+- **Paper:** [ForcingBooster: Adaptive Patch-wise Denoising for Fast Autoregressive Video Diffusion](https://huggingface.co/papers/2610.12625)
+- **Project page:** [https://igl-hkust.github.io/ForcingBooster](https://igl-hkust.github.io/ForcingBooster)
+- **Code:** [https://github.com/IGL-HKUST/ForcingBooster](https://github.com/IGL-HKUST/ForcingBooster)
+- **Checkpoints:** [https://huggingface.co/EXCAI/ForcingBooster](https://huggingface.co/EXCAI/ForcingBooster)