Klein 9B
Showcase images :
Distilled model
768x1152
Euler / normal / 4 steps / CFG 1
Lora strength of 1
ZIB
v1 :
Still experimenting with Z-image Base training. Showcase images :
Euler / normal / 20 steps / CFG 5
Hires steps : 20 / NMKD_SIAX @0.2-0.5 / x1.5-x2
768x1152
Lora strength 0.7 -1
Qwen
Qwen2512 v1:
First lora trained on the new Qwen2512 (it still working with previous Qwen-Image and Qwen-Edit).
For inference, I still prefer the first Qwen-Image model (BF16) (all the showcase images are done with this one).
Seems pretty good but few things appears sometimes unprompted in my tests: artefacts on skin (like scars) and japanese onomatopoeia
Qwen v1:
I've trained a lot of different versions for this one : with big and small dataset, trigger words or not, high and low LR... I've still no idea what's good or not. 🙂
Flux
Had good results starting prompt with :
'black and white Berserk manga style image of'
and 0.8 strength most of the time
v2 edit : Better dataset for better prompt adherence and flexibility