Update README.md

README.md

@@ -40,10 +40,6 @@ python draw_distributions_from_txt.py \
 --save_name ./distribution.pdf
 ```
 
-# Visualizations of the Examples for Failure Cases
-The inspected model here is Stable Diffusion v2-base.
-The setting here is distinghuishing the images generated by the inspected model and another model (i.e., Stable Diffusion v1-5). The visualizations of the examples for false positive and false negative is shown in the following image (also see the files in this repo). We find that the potential reason for the false positive and false negative could be high brightness and high shape complexity in the images, respectively.
-
 
 ## Cite this work
 You are encouraged to cite the following papers if you use the repo for academic research.