Add pipeline tag, library name and paper abstract

README.md

@@ -1,18 +1,23 @@
----
-license: mit
----
-
-# LightGen: Efficient Image Generation through Knowledge Distillation and Direct Preference Optimization
-
-<p align="center">
-  <img src="https://github.com/XianfengWu01/LightGen/blob/main/demo/demo.png" width="720">
-</p>
-
-## About
-This model (LightGen) introduces a novel pre-train pipeline for text-to-image models.
-It is based on [this paper](https://arxiv.org/abs/2503.08619), code release on [this github repo](https://github.com/XianfengWu01/LightGen).
-
-Currently, we just release some checkpoint without DPO
-
-## 🦉 ToDo List
-- [ ] Release Complete Checkpoint.
+---
+license: mit
+library_name: diffusers
+pipeline_tag: text-to-image
+---
+
+# LightGen: Efficient Image Generation through Knowledge Distillation and Direct Preference Optimization
+
+<p align="center">
+  <img src="https://github.com/XianfengWu01/LightGen/blob/main/demo/demo.png" width="720">
+</p>
+
+## About
+
+This model (LightGen) introduces a novel pre-train pipeline for text-to-image models. It uses knowledge distillation (KD) and Direct Preference Optimization (DPO) to achieve efficient image generation. Drawing inspiration from data KD techniques, LightGen distills knowledge from state-of-the-art text-to-image models into a compact Masked Autoregressive (MAR) architecture with only $0.7B$ parameters.
+
+It is based on [this paper](https://arxiv.org/abs/2503.08619), code release on [this github repo](https://github.com/XianfengWu01/LightGen).
+
+Currently, we just release some checkpoint without DPO
+
+## 🦉 ToDo List
+
+- [ ] Release Complete Checkpoint.