# a312863063/generators-with-stylegan2

Here is a series of face generators based on StyleGAN2

Repository: https://github.com/a312863063/generators-with-stylegan2
Canonical: https://ross.abutalabs.com/products/generators-with-stylegan2
Language: Python
License: NOASSERTION
License Family: other
Last push: 2025-02-11T16:26:29+00:00

## Health v2 (maintenance only)
Score: 35/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 6, release rhythm 35, longevity 100
- inputs: {"age_days": 2447, "days_push": 568, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2489, forks 540 (observed 2026-08-28T04:06:55.752105+00:00)

## What it is
A collection of pretrained StyleGAN2-based face generators producing various styles of synthetic human faces (influencer, celebrity, model, child, Asian beauty), plus a face attribute editor. The generated faces are fully AI-created and unique, intended for media, advertising, gaming, and hobbyist use.

## Use cases
- generate synthetic human faces for ads or games
- bulk-generate unique AI face datasets
- edit attributes of generated faces
- get pretrained StyleGAN2 face models
- create fictional character portraits

## When to choose
- you need large volumes of royalty-free synthetic face images
- you want pretrained StyleGAN2 face generators with near-100% artifact-free output
- you work in film, advertising, or game asset creation

## When to avoid
- you need real photographs of actual people
- you need a general-purpose GAN training framework rather than ready-made face models
- you require a permissive open-source license (license is non-standard)

## Facets
- artifact type: dataset
- maturity: stable
- function: machine-learning, image-processing, data-generation
- domain: deep-learning, image-processing, artificial-intelligence
- platform: python
- tags: stylegan2, face-generation, generative-models, pretrained-models, synthetic-faces, gpu

## Member repositories
- a312863063/generators-with-stylegan2 (main) score 35

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:55.752105+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:27:50.331353+00:00, confidence not recorded.
  - readme: https://github.com/a312863063/generators-with-stylegan2 (fetched 2026-08-28T04:06:55.752105+00:00, sha 59962d2819ba)
- Data as of 2026-08-30T08:39:29.467469+00:00.