AndyLone22/MirrorMetrics
MirrorMetrics: How to evaluate Stable Diffusion LoRAs. A visual diagnostic tool to detect overfitting, check dataset quality, and fix training settings using InsightFace biometrics.
- Stars
- 62
- Forks
- 8
- Open issues
- 4
- Last push
- 8mo ago
MirrorMetrics star history
+0 this week
About MirrorMetrics
MirrorMetrics is a free, open-source machine learning tool by AndyLone22, written mainly in Python. MirrorMetrics: How to evaluate Stable Diffusion LoRAs. A visual diagnostic tool to detect overfitting, check dataset quality, and fix training settings using InsightFace biometrics. It has 62 GitHub stars and 8 forks, and was last updated 8mo ago. It's released under the MIT license, a standard open-source license. According to the project, it runs on a regular CPU without a GPU and works on macOS.
- License
- MIT
- Commercial use
- Commercial OK
- Language
- Python
- Stars
- 62
- Last update
- 8mo ago
- Runs on Mac
- Yes (as stated by the project)
- GPU
- Not needed (runs on CPU)
- Paid API key
- Not stated
- Self-hostable
- Yes
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MirrorMetrics FAQ
Can I use MirrorMetrics commercially?
Yes. MIT is a permissive license: commercial use is allowed as long as you keep the license notice. This is a plain-English summary, not legal advice.
Is MirrorMetrics free?
Yes. MirrorMetrics is open source and free to use. It's released under the MIT license, a standard open-source license.
Does MirrorMetrics run on a Mac?
Yes. According to the project, MirrorMetrics works on macOS.
Does MirrorMetrics need a GPU?
No. According to the project, MirrorMetrics runs on a regular CPU.
Is MirrorMetrics still maintained?
It was last updated 8mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to MirrorMetrics?
Similar free, open-source tools include pytorch-image-models, transformers, pytorch-lightning, datasets.
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