Krea 2

Showcase images :

• Turbo model : 8 steps / CFG 1 & Euler simple

• 768x1152

• x2 Hires (10 steps, 0.35 with 4x_NMKD_Siax)

• Lora strength 1.2

Can also do characters : Guts, Casca, Griffith.

Ideogram 4

Can do Guts, Casca and Griffith characters + the style.

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