Update README.md

README.md

@@ -47,13 +47,12 @@ This was intended to be a second test run on the full data set (the first did no
 - Unique Characters
 -- How well it knows a unique character largely depends on how many cards they show up on, and how well the AI was able to isolate the character in question
 -- Most Planeswalkers are fairly well known, even some that have very few cards. (It knows who Aminatou is, despite her having a single card, and even managed to separate her from Seb McKinnon's awesome artwork)
--- Some other unique characters, it only has a general sense of what they look like - Emrakul, for instance, comes out more as purple version of the flying spaghetti monster
+-- Some other unique characters, it only has a general sense of what they look like - Emrakul, for instance, comes out more as purple version of the flying spaghetti monster, and some creature types - (like slivers), it still hasn't quite figured them out
 - Random issues
 -- Some artists use special characters in their name. I tried to take away all accents, but I missed at least one, Tom Wänerstrand, who is trained as Tom Wänerstrand, with the umlaut
 -- Greg Rutkowski: Not an issue, but the poster boy for AI art, Greg Rutkowski, is an MTG artist. He uses the Polish form of his name on MTG cards, Grzegorz Rutkowski, and that is what this model was trained with. So you'll get different results using "by Greg Rutkowski" vs "by Grzegorz Rutkowski"
 
-- Using the Model
+## Using the Model
 
-Prior information has been preserved well, allowing you to incorporate non-MTG artists, people, characters, places, etc. A few examples are below.
+The model was trained on standardized information pulled from Scryfall. It has no knowledge, specifically, of what is in the art, only what is on the card (beyond the artist) - but because the art tends to correlate with card information, it is pretty good at producing what you want, especially after a bit of playing with it. It doesn't need some secret prompt magic to get good images. Add words like "Ravnica" or "Jace" or "Basic Land - Island" to the prompt, and it will mostly do what you expect. Using weights is a good way to draw out specific tags. However, knowing how the training data works can help to get you what you want.
 
-I've done only limited model testing - this was originally meant to be a second test run, but it turned out far better than I had anticipated, so I am releasing it, and hope others enjoy it as much as I have. I've added a small guide "using the model," based on what I've determined from my limited testing.