You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
It might not necessarely be a Comfy UI issue since all flux lora training I did on kohya/onetrainer seems to work, and the issue seems to be pretty recent seens it was working with simpletuner before, I used two days old simpletuner version, yet the new version did'nt seem to fix it.
ai-toolkit target is not really supported. it is probably safe to remove now, in fact. i would recommend just all or all+ffs for LoRA.
but really LoRA is kinda outdated tech by now. LyCORIS LoKr works much better.
Yeah, I know the popularity of LyCORIS LoKr and why its know, its very good on paper, but there are many properties (especially on multi resolution) where it doesnt work that well, yet its still pretty good.
Don't remove ai-toolkit, really the more layers the lora is applied on, the easier it is to train a lora on very complex and far away from original learned distribution images, people are judging lora quality only on very easy image dataset (someone's face ...), but they really forget about the capacity of the lora for learning hard styles/image compositons, to be fair, I modified adapter.py to target near every layers of the model and its where I get the best result really.
It might not necessarely be a Comfy UI issue since all flux lora training I did on kohya/onetrainer seems to work, and the issue seems to be pretty recent seens it was working with simpletuner before, I used two days old simpletuner version, yet the new version did'nt seem to fix it.
I used your default flux lora training especially with quanto (let me know if its the issue) and use flux target ai-toolkit
Just so you can test it a lora: https://drive.google.com/file/d/1mpFHMTOfbAXVLKKj8A5IfWLr0VIoT32K/view?usp=sharing
The text was updated successfully, but these errors were encountered: