zImage Base - v1.0
To much to explain which is most likely just wild theories anyway. Was a battlefield of several different training settings with a few complete restarts, still don't really know when it decides to work or not, sometime it does, sometimes it doesn't. Also save to go over 1.0 strength, 1.2 in some cases fixed hallucinations and bad anatomy ... as far as you can fix bad anatomy because that is pretty much the whole idea of the Lora.
Training mixed media in zImage with a bigger dataset is ... tricky. A focused and smaller set, less problems.
Some of the prompts are missing what the image actually shows by a lot ( still old captations ). Running the images through the LLM again with better descriptions seems to fix it for the most part, even after training, but there a quite a few with completely wrong capitations.
Not really to sad about it doing its own thing sometimes, means more variation i didn't expect. A bit to tame, but that's just zImage i guess, needs a nice little finetune, small push in the right direction, cough chroma cough
V3.1
Cleaning house, leftover images trained.
v2.0
More images added ( more environments and atmospheric stuff) , much, much more training, merging and a simple change in training strategy.
Anything movie related will still produce blurry b-movie like quality, so lower strength, but the overall quality enhanced a lot. Given the resolution of a few training images that was kinda unexpected. Sometimes the change is subtle but more than enough i think. In some cases, it can turn simple tags into a good looking image, even illustrations.
If the same works with other loras, i may have reached my personal peak... for now... with a lora that was just made for shenanigans sake.
After, i think, 40.000 steps i call it a day for now, till i collect more pictures of fitting environments and actually more unsettling atmospheric stuff instead of just monsters.
The pictures are pretty much cherry-picked for quality sake and because Civit's idiotic oversensitive filter will most likely run to mommy and putt everything under XXX just for a single harmless tentacle or some shit. It's not trained on anything NSFW, but most creatures or monsters have in general no clothes, so yeah, you may need to specify that. Should be no problem, because text-encoder doesn't get trained ( unfortunately to much RAM needed ) and Chroma doesn't use CLIP as far as i know, so only U-Net should be flexible enough.
It can and will produce much more fucked up things if asked to. I don't really know what people would call creepy, uncanny or whatever since i have no limit / barometer when it comes to things like that. Quite a few pictures where from old horror movies and some from new ones, a lot of them pretty niche. Also artsy images, abstract, biopunk and environments.
If you wanna really go for it use horror, movie, slimy, translucent, movie, cinematic etc. In a lot of cases the quality will suffer though because of the base material. Lower strength is maybe better or if you know how to prompt it can be negated for the most part.
For now i just wanna make some "base" loras which i can mix and match later or for merging with other loras to enhance certain aspects.
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bro can u plz make one for z-image
If they manage to release the base model or something else unexpected happens i'll look into it, don't wanna waste time on a neutered version.
@TijuanaSlumlord ahh ok ok
Great work, thanks for that.
V3.1 appears to be making vastly different images than 1.0 and 2.0 did. Different colors, worse look etc.
Wenn es nicht unterschiedlich wäre von den anderen Versionen hätte ich es nicht gepostet. Was du im endeffekt damit machst oder davon erwartest hängt von dir ab. Die letzte version ist gemixt mit verschieden batches a 50 bilder weil das dataset zu groß geworden ist. Hätte ich einfach nur neue Bilder dazu geballert und quasi weiter trainiert von der letzten Lora dauert es ewig bis die neuen Bilder überhaupt einen einfluss haben und alles wird zu einem misch-masch von über- und untertrainierten Bildern. Von meinem Standpunkt aus macht es jetzt eher das was ich davon von anfang an wollte.
@TijuanaSlumlord Ah verstehe. Dachte nur irgendwas ist bei mir falsch weil v1 und v2 so ähnlich sind



















