Update Readme

README.md

@@ -6,9 +6,9 @@ tags:
 - art
 - Stable Diffusion
 ---
-## Model Card for lyraSD2
+## Model Card for lyraSD
 
-lyraSD2 is currently the **fastest Stable Diffusion model** that can 100% align the outputs of **diffusers** available, boasting an inference cost of only **0.52 seconds** for a 512x512 image, accelerating the process up to **80% faster** than the original version. 
+lyraSD is currently the **fastest Stable Diffusion model** that can 100% align the outputs of **diffusers** available, boasting an inference cost of only **0.52 seconds** for a 512x512 image, accelerating the process up to **80% faster** than the original version. 
 
 Among its main features are:
 
@@ -42,7 +42,7 @@ Among its main features are:
 |model|time cost(ms)|
 |:-:|:-:|
 |torch2.0.1 + diffusers|~930ms|
-|lyraSD2|~745ms|
+|lyraSD|~745ms|
 
 ## Model Sources
 
@@ -132,7 +132,7 @@ for i, image in enumerate(images):
 
 ```bash
 docker pull nvcr.io/nvidia/pytorch:23.02-py3
-docker run --rm -it --gpus all -v ./:/lyraSD2 nvcr.io/nvidia/pytorch:23.02-py3
+docker run --rm -it --gpus all -v ./:/lyraSD nvcr.io/nvidia/pytorch:23.02-py3
 
 pip install -r requirements.txt
 python txt2img_demo.py
@@ -140,14 +140,14 @@ python txt2img_demo.py
 
 ## Citation
 ``` bibtex
-@Misc{lyraSD2_2023,
+@Misc{lyraSD_2023,
   author =       {Kangjian Wu, Zhengtao Wang, Yibo Lu, Haoxiong Su, Bin Wu},
-  title =        {lyraSD2: Accelerating Stable Diffusion with best flexibility},
-  howpublished = {\url{https://huggingface.co/TMElyralab/lyraSD2}},
+  title =        {lyraSD: Accelerating Stable Diffusion with best flexibility},
+  howpublished = {\url{https://huggingface.co/TMElyralab/lyraSD}},
   year =         {2023}
 }
 ```
 
 ## Report bug
-- start a discussion to report any bugs!--> https://huggingface.co/TMElyralab/lyraSD2/discussions
+- start a discussion to report any bugs!--> https://huggingface.co/TMElyralab/lyraSD/discussions
 - report bug with a `[bug]` mark in the title.