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bryandlee/animegan2-pytorch

PyTorch implementation of AnimeGANv2 observed · 2026-08-28

github.com/bryandlee/animegan2-pytorch · Jupyter Notebook · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 2024
  • days_rel: n/a
  • days_push: 1335
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

4452 stars · 640 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A PyTorch implementation of AnimeGANv2, a GAN-based image-to-image style transfer model that converts photos into anime-style images. It provides pretrained weights loadable via torch.hub, including face portrait and painting styles.

Use cases

  • convert photos to anime style
  • apply anime style transfer to portraits
  • turn a face photo into a painting
  • run animegan2 in pytorch
  • load pretrained animegan2 weights via torch hub
  • stylize images with a gan

When to choose

  • you want a simple PyTorch port of AnimeGANv2 with pretrained weights
  • you need anime-style image stylization in a Python/PyTorch pipeline
  • you want quick inference via torch.hub on CPU or CUDA

When to avoid

  • you need training code or the latest GAN research rather than inference
  • you need a maintained project with active updates
  • you need non-anime style transfer or video processing

Facets

library · maturity maintenance

image-processing machine-learning deep-learning image-processing machine-learning computer-vision python cross-platform animeganv2 style-transfer gan pytorch image-to-image torch-hub pretrained-models gpu

1 source

Member repositories

RepositoryRoleHealth v2
bryandlee/animegan2-pytorchmain32

For agents

markdown · JSON · MCP: product_card(name="bryandlee/animegan2-pytorch")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem