This is a test model, mostly to see if the split hair was actually possible to train with a small dataset.Trained on 9 images, mostly recolours of other characters. Mostly masked to focus on the hair.The available SD1 models do not seem to have much comprehension of "split-color hair" as a concept, and so you get a more reliable split hair result with the overtrained models. Try playing with the LoRA alpha value.Trainer: OneTrainer Base model: AnythingV3 Prompt: "paisonchan" Optimiser: ASAMW_8BIT LR Scheduler: CONSTANT LR: 0.0005 Batch size: 1 Accumulation steps: 1 CLIP Skip: 1Recommended starting prompts: "masterpiece, best quality, paisonchan, 1girl, solo, heterochromia, yellow eye, blue eye, multicolored hair, (split-color hair:1.4), blue hair, (blonde hair:0.80), blunt bangs, ponytail, glasses, labcoat, necktie, office lady, &lt;lora:paison-chan_1800-step_20-epoch:0.9&gt;" "masterpiece, best quality, paisonchan, 1girl, solo, heterochromia, yellow eye, blue eye, multicolored hair, (split-color hair:1.4), blue hair, (blonde hair:0.80), blunt bangs, ponytail, glasses, labcoat, necktie, office lady, &lt;lora:paison-chan_3600-step_40-epoch:0.7&gt;"

Python-chan Test LoRA

Files with SHA256: e87516a910d61436fa3bc27e4438f2612bd767096bfe04acd145d984d56cd1b0