Update docs/description.md

docs/description.md

@@ -8,9 +8,11 @@ This demo showcases a lightweight Stable Diffusion model (SDM) for general-purpo
 
 
 ### Notice
- - This research is accepted to [**ICCV 2023 Demo Track**](https://iccv2023.thecvf.com/) — title: Architecturally Compressed Stable Diffusion for Efficient Text-to-Image Generation.
+ - This research was accepted to
+    - [**ICML2023 Workshop on Efficient Systems for Foundation Models** (ES-FoMo)](https://es-fomo.com/)
+    - [**ICCV 2023 Demo Track**](https://iccv2023.thecvf.com/)
  - Please be aware that your prompts are logged (_without_ any personally identifiable information).
- - To generate different images with the same prompt, please change _Random Seed_ in Advanced Settings (because this demo only uses the firstly sampled latent code for each seed).
+ - For different images with the same prompt, please change _Random Seed_ in Advanced Settings (because of using the firstly sampled latent code for each seed).
  - Many parts of the demo codes were borrowed from [stabilityai/stable-diffusion](https://huggingface.co/spaces/stabilityai/stable-diffusion) and [akhaliq/small-stable-diffusion-v0](https://huggingface.co/spaces/akhaliq/small-stable-diffusion-v0). Thanks, Stability AI ([@stabilityai](https://huggingface.co/stabilityai)) and AK ([@akhaliq](https://huggingface.co/akhaliq))!
 
 ### Updates