Update README.md

README.md

@@ -33,7 +33,7 @@ extra_gated_heading: Please read the LICENSE to access this model
 ---
 
 # BK-SDM Model Card
-Block-Removed Knowledge-Distilled Stable Diffusion Model (BK-SDM) is a compressed SDM for efficient general-purpose text-to-image synthesis. This model is bulit with (i) removing several residual and attention blocks from the U-Net of [Stable Diffusion v1.4]( https://huggingface.co/CompVis/stable-diffusion-v1-4) and (ii) distillation pretraining on only 0.22M LAION pairs (fewer than 0.1% of the full training set). Despite being trained with very limited resources, our compact model can imitate the original SDM by benefiting from transferred knowledge.
+Block-removed Knowledge-distilled Stable Diffusion Model (BK-SDM) is an architecturally compressed SDM for efficient general-purpose text-to-image synthesis. This model is bulit with (i) removing several residual and attention blocks from the U-Net of [Stable Diffusion v1.4]( https://huggingface.co/CompVis/stable-diffusion-v1-4) and (ii) distillation pretraining on only 0.22M LAION pairs (fewer than 0.1% of the full training set). Despite being trained with very limited resources, our compact model can imitate the original SDM by benefiting from transferred knowledge.
 - **Resources for more information**: [Paper](https://arxiv.org/abs/2305.15798), [Demo]( https://huggingface.co/spaces/nota-ai/compressed-stable-diffusion).
 
 
@@ -194,7 +194,8 @@ The intended use of this model is with the [Safety Checker](https://github.com/h
   title={On Architectural Compression of Text-to-Image Diffusion Models},
   author={Kim, Bo-Kyeong and Song, Hyoung-Kyu and Castells, Thibault and Choi, Shinkook},
   journal={arXiv preprint arXiv:2305.15798},
-  year={2023}
+  year={2023},
+  url={https://arxiv.org/abs/2305.15798}
 }
 ```
 ```bibtex
@@ -202,8 +203,8 @@ The intended use of this model is with the [Safety Checker](https://github.com/h
   title={BK-SDM: Architecturally Compressed Stable Diffusion for Efficient Text-to-Image Generation},
   author={Kim, Bo-Kyeong and Song, Hyoung-Kyu and Castells, Thibault and Choi, Shinkook},
   journal={ICML Workshop on Efficient Systems for Foundation Models (ES-FoMo)},
-  year={2023}
+  year={2023},
+  url={https://openreview.net/forum?id=bOVydU0XKC}
 }
-```
 
 *This model card was written by Bo-Kyeong Kim and is based on the [Stable Diffusion v1 model card]( https://huggingface.co/CompVis/stable-diffusion-v1-4).*