Have you noticed that when a wolf snarls you can see its gums but most AI models don't show this?
Trained on 689 photos of real wolves (no art, no werewolves nor AI gen), tagged manually and using GPT4 and joycaption to 275 tokens each.
The main trigger word is wolf so Just add this lora and prompt as usual and get - A Better Wolf™ -
Flux 2 [klein] 9b
Wow Flux 2 almost nails wolves right out of the box, but stuff like the teeth and eyes improve with this lora, snarl, angry, growling and interactions such as eating improve.
need a workflow? try this one which can handle the lora + 8 reference images
ZImageTurbo
This model is trained on the v2 dataset, in 6000 steps using default settings in Ostris AI-Toolkit. It started out great then at 3000 steps I got deformities which cleared up at 6000 steps. I'm pretty happy with the result. the fur improves from being ruffled to smooth more wolf like
Qwen
I've enhanced the dataset to a v2 using 689 images and joycaption to meticulously describe each scene. then trained I trained using Ostris new 3 bit quant and side chain "accuracy recovery adapter" . The LoRA is CLIP-heavy: it defines shape and features, not style. so load it onto the CLIP side of your workflow. i use a modified workflow from Aitrepreneur and can't really share it.
Flux:
We have 3 versions two of which works and the third is for creating nightmares.
Recommended is trained on 750 steps and gives a very impressive result
Light is lighter trained at 500 steps and can add detail to a scene
- I've kept all test images with seed = 1 and prompts in same order so you can compare the two models -
Bad Taxidermy can create good results, which is why I uploaded it but it turned out to be very over trained and give absolutely horrible images. so don't download it unless you need that.
Trained using ostris ai-toolkit
SDXL:
This LORA has been tested quite a lot now and it fixes a lot of the wolf related issues in SDXL
NB Training data included
Description
Qwen version trained on my V2 dataset.. which has a lot better tagging
FAQ
Comments (7)
Will sdxl get any updates like v2?
I did make a re-training for the v2 dataset for SDXL, I'm not totally happy with it. hmm maybe i should just share it
@Torque Is the tagging different from the latest version?
V2 has more tags. no tags removed. but i went from v1 75 tokens to 225. this means everything but the wolf is described better and thus the wolf is better isolated
@Torque Did you ever share it anywhere?
no. the reason is for SDXL i did train something in the new v2 training set but i don't think it is very much better than V1. i wanted to re-train but Koya does not support my 5090 yet.
but i can see there is popular demand for an v2 sdxl version
@Torque I'm happy to see this is still being updated. :)

















