Update README.md

README.md

@@ -77,11 +77,11 @@ They're all 16 vectors.
 
 rnknbss16: pretty good but was trained too far and/or fast and tends to make hybrid elf/Santa creatures out of everything and is hard to get it to do anything else, although if your concept is strong or present enough in the model it can do pretty well (i.e. Cinderella's castle which is on EVERYTHING Disney).
 
-Models rnknbss11-100 through rnknbss16-150 do much better, however these do less well with people and faces, they're better suited for things, creatures, animals, scenery, places, etc.
+Models rnknbss16-100 through rnknbss16-150 do much better, however these do less well with people and faces, they're better suited for things, creatures, animals, scenery, places, etc.
 
 rnknbss16v2: pretty sure this one is overtrained by a good deal, but you might have success with it. 
 
-rnknbssv2-750 and rnknbssv2-775 are the sweet spot for people and characters with this v2 model, it also tends to get clearer outputs without looking as "fuzzy" or "blurry" and almost as a similar quality as VintageHelper embedding.
+rnknbss16v2-750 and rnknbss16v2-775 are the sweet spot for people and characters with this v2 model, it also tends to get clearer outputs without looking as "fuzzy" or "blurry" and almost as a similar quality as VintageHelper embedding.
 
 Which brings me to mixing this with things: