Update README.md

README.md

@@ -11,7 +11,7 @@ Creators: Gwanghyun Kim, Taesung Kwon, Jong Chul Ye
 
 <img src="https://github.com/submission10095/DiffusionCLIP_temp/raw/master/imgs/main1.png" alt="Excerpt from DiffusionCLIP paper showcasing comparison of DiffusionCLIP versus other methods for image reconstruction, manipulation, and style transfer." style="height: 300px;"/>
 
-DiffusionCLIP is a diffusion model which is well suited for image manipulation thanks to its nearly perfect inversion capability, which is an important advantage over GAN-based models. This checkpoint was trained on the [CelebA-HQ Dataset](https://arxiv.org/abs/1710.10196), available on the Hugging Face Hub: https://huggingface.co/datasets/huggan/CelebA-HQ.
+DiffusionCLIP is a diffusion model which is well suited for image manipulation thanks to its nearly perfect inversion capability, which is an important advantage over GAN-based models. This checkpoint was trained on the ["Bedrooms" category of the LSUN Dataset](https://www.yf.io/p/lsun).
 
 This checkpoint is most appropriate for manipulation, reconstruction, and style transfer on images of indoor locations, such as bedrooms. The weights should be loaded into the [DiffusionCLIP model](https://github.com/gwang-kim/DiffusionCLIP).