LoRA Description

This is a recreation of a character from a minor Japanese game whose title cannot be disclosed.

Training was done at dim 32 / alpha 32, and the uploaded file has been size-reduced to rank 1. Testing showed that a high rank isn't necessary — rank 1 is sufficient to reproduce the character accurately. As a result, the file is only about 8MB.

After generating more images later, I discovered a problem. I later realized that I had deleted more information than necessary because I was not familiar with the LoRa resizing method. I apologize to those who downloaded it first. Please download the new 60MB file again. It was foolish of me to think that it could be fully displayed within 8MB. Therefore, I am uploading the original 32-rank file, which was resized using a different method.

If you want a more realistic rendering of the character, you can increase realism by using loraholic's "Real vs 3D" slider LoRA, or the Krea2 Edit "Anime to Real" LoRA. Another option is to use a different base model that has been fine-tuned for realism.

The showcase images were generated at 832x1216 resolution, combining several methods in a single first pass. This means the same results cannot be reproduced using this LoRA alone. The original character is a 3D render, and applying this LoRA by itself will produce a flat, plain 3D-style character similar to the source material. Lowering the LoRA strength to around 0.5 reduces character fidelity but gives a more human-like appearance.

Training Specs and Settings

The reason I'm including this section is that when I first started training LoRAs, the hardest part was finding other people's documented experiences to reference. So I'm leaving this record for others who are just getting into LoRA training, in hopes that it helps.

Training tool: kohya-ss's musubi-tuner

Training settings:

• dim 32 / alpha 32 / LR 0.0002 / LR scheduler: cosine / warmup: 90 steps (5%) / total steps: 1,800

• blocks to swap: 24

Dataset: Selected 60 images out of roughly 150 screenshots captured from the game, upscaled using Qwen Image Edit 2511. Captions were auto-generated with Qwen3 VL 8B and then manually corrected where inaccurate.

System specs: 32GB system RAM / RTX 4060 Ti 16GB

Total training time: approximately 9 hours