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@@ -91,8 +91,19 @@ Then I deleted those extra samples below, as they were nice when I finished trai
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  Even now I would have to learn. Thing is NAI works quite differently from SDXL. And then those quality and negatives MUST be used.
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  For fine-tuned models, Euler A usually works quite well. For NAI EPS 1.1, you can try others. Raising CFG beyond 6, and too many steps does not seem to improve much.
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- So about 5 to 6 CFG, and 20 to 25 steps. 30 steps if you're rerolling he same seed and want to check if it improves. For NAI V-Pred it may work when it's outdoors, but
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- it's not really worth it. It's better to use a fine-tuned V-Pred model instead.
 
 
 
 
 
 
 
 
 
 
 
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  Even now I would have to learn. Thing is NAI works quite differently from SDXL. And then those quality and negatives MUST be used.
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  For fine-tuned models, Euler A usually works quite well. For NAI EPS 1.1, you can try others. Raising CFG beyond 6, and too many steps does not seem to improve much.
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+ So about 5 to 6 CFG, and 20 to 25 steps. 30 steps if you're rerolling he same seed and want to check if it improves.
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+ For NAI V-Pred it works better when it's outdoors and dimension is 832x1216, actually just like my Kawaii Chibi Avatar, V-Pred allows immense freedom,
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+ although it requires prompting (reads thinking, unless you're super used to it and how to pick perfect keywords out of tons of booru tags,) and some "emotional personal tags and senteces,"
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+ as NAI models are very focused on character subjects,and if you play well around them, the model opens the doors to unusual and unthinkable things related to dioramas, isometrics
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+ miniatures and all the likes.
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+ NAI base models such as any others (even SD 1.5) are able to create isometrics from their base training. Yet they need to understand the meaning of some extra tags such as
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+ "isometrics" per se (if they ever do! lol.) Then, if you're used to NAI V-Pred booru-thinking, you might have a lot of fun.
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+ If not, whether just pick a V-Pred merge (depends on what had been merged,it won't work) or EPS fine-tuned and or merges (again not all work the same way.) All those furry/anthro focused models tend to work quite well with all my LoRAs, not exactly that I do anything better than anyone else, but it's on their end, as
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+ they tend to be excellent versatile models with high capacity of understanding and adherence to input.
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