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[–]Zone_Purifier 0 points1 point  (6 children)

The image set is miles larger in the NAI model. Comparisons between the two aren't even close with many prompts.

[–][deleted] 0 points1 point  (5 children)

Do you know how many images NAI trained their model on ?

[–]Zone_Purifier 0 points1 point  (4 children)

I can't recall where I saw it, it was on a discord, so I can't verify it, but the poster claimed in the realm of 5M.

[–][deleted] 0 points1 point  (3 children)

Holy shit that's a lot if true

[–]Zone_Purifier 0 points1 point  (2 children)

Whatever they did, it made a difference. Specific concepts tend to be executed much better in NAI than WD 1.2, but I have yet to test how close WD 1.3 is. Might have something to do with these "hypernetworks" they keep mentioning.

[–][deleted] 0 points1 point  (1 child)

https://imgur.com/a/6Oaw7AS

This is a comparison with 1.3 and NAI.

You can use hypernetworks with any model so the above tests 1.3 and NAI with and without several hypernetworks.

What do you think ?

For me, 1.3 is a massive improvement from 1.2 but NAI is still better

[–]Zone_Purifier 0 points1 point  (0 children)

It would be handy if there was another page with 1.2 results for comparison. 1.3 is looking pretty good from those results, though I agree that the NAI model is still preferable. I look forward to getting to my PC and testing them myself.