Update README.md

README.md

@@ -11,7 +11,7 @@ tags:
 ---
 ## Model Card for lyraSD
 
-lyraSD is currently the **fastest Stable Diffusion model** available, boasting an inference cost of only **0.36 seconds** for a 512x512 image, accelerating the process up to **10 times faster** than the original version. 
+lyraSD is currently the **fastest Stable Diffusion model** available, boasting an inference cost of only **0.435 seconds** for a 512x512 image, accelerating the process up to **10 times faster** than the original version. 
 
 Among its main features are:
 
@@ -28,8 +28,8 @@ Among its main features are:
 - device: Nvidia A100 40G
 - img size: 512x512
 - percision:fp16
-- steps: 20
-- solver: EularA
+- steps: 30
+- solver: LMSD
 
 ### text2img
 |model|time cost(ms)|memory(MB)|
@@ -56,12 +56,12 @@ Among its main features are:
 ```python
 from lyraSD import LyraSD
 
-t2imodel = LyraSD("text2img", "./sd1.5-engine")
+t2imodel = LyraSD("text2img", "./sd1.4-engine")
 t2imodel.inference(prompt="A fantasy landscape, trending on artstation", use_super=False)
 
 
 from PIL import Image
-i2imodel = LyraSD("img2img", "./sd1.5-engine")
+i2imodel = LyraSD("img2img", "./sd1.4-engine")
 demo_img = Image.open("output/text2img_demo.jpg")
 i2imodel.inference(prompt="A fantasy landscape, trending on artstation", image=demo_img)