Image
kohya_ss
kohya_ss — open-source image project on GitHub.
★ 12.6k starsApache-2.0
View guide →// image · AndyLone22/MirrorMetrics
MirrorMetrics
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.
Visual diagnostics for LoRA training — spot overfitting with face biometrics
💎 Hidden gem★ 62 stars⑂ 8 forksMITupdated 2026-02
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
so here's a placeholder. The guide below is complete regardless.
// project facts
Project facts
- Repository
- AndyLone22/MirrorMetrics
- GitHub stars
- 62
- Forks
- 8
- License
- MIT
- Last updated on GitHub
- 21 February 2026
- Category
- Image
- Listing
- Hidden gem — a shorter page for a lesser-known project
- Official site
- Official site
// how it works
How it works
- Prepare your LoRA
Point MirrorMetrics at a trained LoRA and its dataset.
- Run diagnostics
It analyzes samples with InsightFace biometrics.
- Read the visuals
Charts reveal overfitting and dataset problems.
- Fix and retrain
Adjust settings based on what the metrics show.
// features
Why people love it
Overfit detection
Visual signals when a LoRA memorizes.
Dataset quality
Spot bad or inconsistent training images.
Face biometrics
InsightFace-based identity consistency checks.
Training fixes
Guidance on settings to change.
Data visualization
Charts instead of guesswork.
MIT licensed
Free for commercial use with attribution.
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// run it
Run it yourself
- Step 1 — Clone the repo
Download the source and move into the project folder.
git clone https://github.com/AndyLone22/MirrorMetrics.git cd MirrorMetrics - Step 2 — Check the README
Every project documents its own setup; start with install requirements.
cat README.md | head -60 - Step 3 — Run it
Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch command
// use cases
What you can build
- Diagnose why a LoRA produces bad faces.
- Check dataset quality before long training runs.
- Compare checkpoints with biometric metrics.
- Tune training settings with evidence, not hunches.
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// faq
Questions, answered
Who maintains MirrorMetrics?
It 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.
Is MirrorMetrics free for commercial use?
MIT licensed — commercial use allowed with attribution.
Which models does it evaluate?
It is built for Stable Diffusion LoRAs.
Do I need a GPU?
InsightFace analysis runs best with one — check the README.
Can it fix my LoRA?
It diagnoses problems and suggests setting changes; you retrain.
// keep exploring
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// more in image
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Get MirrorMetrics
Free and open — grab the source, star the repo, and start creating.