Updated: Jan 7, 2026
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1 variant available
Stats
630 1 2 3 4 5 6 7 8 90 1 2 3 4 5 6 7 8 9
1490 1 2 3 4 5 6 7 8 90 1 2 3 4 5 6 7 8 90 1 2 3 4 5 6 7 8 9
850 1 2 3 4 5 6 7 8 90 1 2 3 4 5 6 7 8 9
Reviews
(9)
Published
Nov 30, 2025
Base Model
Hash
AutoV2
2066C34D7D
trained against a varied dataset of images


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.

