An 8 vector embedding that emulates the style of a particular Japanese artist, trained on the NAI model. V1.0 is recommended version.
You may notice in the image metadata different variations, like 'henreader-8' and 'henreader girl'. It's all the same embed renamed for various testing purposes, such as training the same dataset on different initialization tokens and at different sizes; the presented embedding was the best result.
Prefer LoRA?
https://civarchive.com/models/108757/henreader-lora
You can also find me on pixai.
Description
FAQ
Comments (10)
Henreader is my fav artist. Have you considered making a lycoris/lora version of this to improve the generations?
I have tried multiple times to create LoRAs but am incapable of doing so; no matter what guides I follow or which extension I install, the training process always fails.
excuse me, have u seen this ?
I don't really want to rely on Google...
HOWEVER
@AInonymous oh, i am on the same boat , i have even attempted to fully "de-googlify" my devices ..
BTW, have you tried making other artist LoRAs recently? may i suggest this artist perhaps..?
@YazawaOkeLoRA I'm always open to suggestions, particularly for artists/characters/etc that don't have a model yet. I'll give it a shot.
@AInonymous oohhhh, thank you, best wishes !!!
@YazawaOkeLoRA Alright, I now have both a TI and LoRA uploaded for Yazawa Oke; personally, I'm not all that satisfied with the results, but I did what I could.
@AInonymous oh, but it's pretty good ! of course there is some room for some improvements i guess it was because the artist has not many full color stuff besides fanwork covers and whatnot (last time i chequed hes only doing some monochrome vtuber fanart), maybe you needed more full color pics or maybe i should have asked for something less niche, Mamezou or yuihara, maybe..
@YazawaOkeLoRA There were a few problems with this artist.
1: A small dataset
2: Much of that dataset is monochrome (this is especially bad for TI embeddings)
3: Much of that dataset is rough and unfinished (also bad for TI embeddings)
Out of the ~200 images I was able to easily find, the final dataset contained only 82 of them, and even those had rough lineart which is why the TI version came out so muddy; fortunately, the LoRA seems to have largely avoided that issue.
All of that said though, it was still worth doing as a learning experience if nothing else. Also, since you mentioned Mamezo(Mamezou?), I briefly looked it up, but there seem to be a few artists under that name. If you can provide a link, I wouldn't mind at least going glancing through their work to see if it's worth making a model.
Details
Available On (1 platform)
Same model published on other platforms. May have additional downloads or version variants.