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Fizgig 5.2 - combining two Minimax training methods beats either alone
Two of the ways that exist (im sure there are more) to train a LoRA on H3 well are on two different trainers. Fizgig's is Optimised Likeness Learning: I've found the stable core of H3's identity lives
Two of the ways that exist (im sure there are more) to train a LoRA on H3 well are on two different trainers. Fizgig's is Optimised Likeness Learning: I've found the stable core of H3's identity lives in the back 30 of its 50 blocks, so steps train blocks 20–49 only and leave the front of the model - composition, anatomy, prompt following - untouched when likeness mode is on. AI-Toolkit's, by Ostris, is the training adapter: H3 is guidance-distilled, so every plain-flow gradient is partly "learn the concept" and partly "undo the distillation"; a frozen assistant LoRA under the trainable one pulls the base back toward plain flow, and it's switched off for sampling. I ran all three on 5 datasets - my method alone, the adapter alone, and both together - scoring every epoch's preview against the training photos with face recognition, 45 epochs each. Each method alone landed in the same place within 2% arcface score. Together they got there a quarter sooner, ran clearly ahead through the whole middle of the run, and finished higher than either. In short: the combination reaches greater likeness and quality than either method does on its own. So it's now the default: the adapter is on in every H3 preset, off for previews, never in your saved LoRA. The updater fetches it. Also in 5.2: Context LoRA for H3 (train on top of any existing H3 LoRA, to make a lora that plays nice with it), and video clips follow likeness mode in LoRA runs too. Release notes: https://github.com/shootthesound/Fizgig/releases/tag/v5.2.0 Thanks to Ostris for publishing the adapters. I've tagged him on the release notes as I believe the info will be useful for AI-Toolkit too. https://github.com/shootthesound/Fizgig P.S - For Fizgigs recent new full base model Fine tune mode the adapter lora is not necessary in my tests so far, but I am going to test that further. submitted by /u/shootthesound [link] [comments]
Related
Source: r/StableDiffusion | 2026-09-02