a new pre-trained model in the near future

README.md

@@ -17,9 +17,10 @@ This is the Open source of the paper <AnimeGAN: a novel lightweight GAN for phot
 3. The generated stylized images will be affected by the overall brightness and tone of the style data, so try not to select the anime images of night as the style data, and it is necessary to make an exposure compensation for the overall style data to promote the consistency of brightness and darkness of the entire style data.  
 
 **News:**    
-Now, AnimeGAN has 2 significant problems:  
+AnimeGAN has been open source for almost a year. Now, it has 2 significant problems:  
 1. It is difficult to get the effect reported in the paper directly through code training.  
 2. The generated image is prone to high-frequency artifacts.  
+
 Therefore, I will release a new version of AnimeGAN's pre-trained model in the near future. And provide the corresponding hyperparameter settings, and these settings may be a little different from those mentioned in the paper.  
 
 The improvement directions of AnimeGAN+ mainly include the following 4 points: