kohya_ss
kohya_ss — open-source image project on GitHub.
Visual diagnostics for LoRA training — spot overfitting with face biometrics
MirrorMetrics is an open-source image project by AndyLone22 (AndyLone22/MirrorMetrics on GitHub). It has 62 GitHub stars and 8 forks, is released under the MIT license, and was last updated on GitHub on 21 February 2026.
Point MirrorMetrics at a trained LoRA and its dataset.
It analyzes samples with InsightFace biometrics.
Charts reveal overfitting and dataset problems.
Adjust settings based on what the metrics show.
Visual signals when a LoRA memorizes.
Spot bad or inconsistent training images.
InsightFace-based identity consistency checks.
Guidance on settings to change.
Charts instead of guesswork.
Free for commercial use with attribution.
Download the source and move into the project folder.
git clone https://github.com/AndyLone22/MirrorMetrics.git
cd MirrorMetricsEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at AndyLone22/MirrorMetrics with 162 forks. Check the repo's contributors and recent commits to see how active maintenance is.
MIT licensed — commercial use allowed with attribution.
It is built for Stable Diffusion LoRAs.
InsightFace analysis runs best with one — check the README.
It diagnoses problems and suggests setting changes; you retrain.
kohya_ss — open-source image project on GitHub.
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