Update README.md

README.md

@@ -25,7 +25,7 @@ depend on manually curated lists of tags describing features people do not want
 To address these problems, boring_e621 employs textual inversion on a set of images automatically extracted from the art site 
 e621.net, a rich resource of millions of hand-labeled artworks, each of which is both human-labeled topically and rated 
 according to its quality.  E621.net allows users to express their approval of an artwork by either up-voting it, or marking it as a favorite.  
-Boring_e621 was specifically trained artworks automatically selected from the site according to the criteria 
+Boring_e621 was specifically trained on artworks automatically selected from the site according to the criteria 
 that no user has ever Favorited or Up-Voted them.  boring_e621 thus learned to produce low-quality images, so when it is 
 used in the negative prompt of a stable diffusion image generator, the model avoids making mistakes that would make the generation more boring.
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