Updated: Jan 7, 2026
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Dec 2, 2025
trained using DRaFT-LV setup
pairwise head on joyquality fitted on a dataset of varying cfg generations from the base model
the preference is cfg 3.0 < 5.0 > 7.0
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1.4K0 1 2 3 4 5 6 7 8 9.0 1 2 3 4 5 6 7 8 9K
3.3K0 1 2 3 4 5 6 7 8 9.0 1 2 3 4 5 6 7 8 9K
33K0 1 2 3 4 5 6 7 8 90 1 2 3 4 5 6 7 8 9K

License:
Illustrious LicenseLoRAs trained using DRaFT-like post-RL using Siglip/Dino
Don't expect sensible results on any other model than indexed v2
These are just experiments. I will often not avoid over-training and forgo stronger regularization as I am more so looking for what effects are most prominent for varying data regimes.
