Analysis updated 2026-07-17 · repo last pushed 2023-08-02
Enhance old family portraits in a photo restoration service.
Sharpen faces in video on the fly for a video platform.
Batch-upscale blurry profile pictures for a social media app.
| sanbuphy/face-upscalers-onnx | 0xallam/posthog | 0xallam/search-engine | |
|---|---|---|---|
| Stars | 1 | 1 | 1 |
| Language | — | Python | C++ |
| Last pushed | 2023-08-02 | 2026-03-26 | 2023-08-23 |
| Maintenance | Dormant | Maintained | Dormant |
| Setup difficulty | moderate | moderate | hard |
| Complexity | 3/5 | 3/5 | 3/5 |
| Audience | developer | pm founder | developer |
Figures from each repo's GitHub metadata at analysis time.
Pre-trained models may carry their own separate licensing terms distinct from the MIT-licensed code.
Python code that runs ONNX AI models to sharpen and upscale blurry or low-resolution faces in photos.
Dormant — no commits in 2+ years (last push 2023-08-02).
Setup difficulty is rated moderate, with roughly 1h+ to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Verify against the repo before relying on details.