I got tired of guessing if my Character LoRA trainings were actually good, so I built a local tool to measure them scientifically. Here is MirrorMetric (Open Source and totally local)
Stop guessing if your AI character models are good. This local tool gives you data.
Deep Dive
A developer frustrated with subjective LoRA evaluations built MirrorMetric, an open-source local tool that provides scientific measurement of Character LoRA training quality. It generates comparative graphs between reference images and LoRA tests, features a control panel for filtering models, and displays multiple visualization options. The tool aims to replace guesswork with quantitative data, allowing creators to objectively assess model fidelity and training effectiveness without relying on cloud services or personal bias.
Why It Matters
This gives AI character creators an objective, local standard for model quality, potentially improving workflows and outputs.