williamyang1991/VToonify
[SIGGRAPH Asia 2022] VToonify: Controllable High-Resolution Portrait Video Style Transfer observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1454
- days_rel: n/a
- days_push: 1044
- n_releases_24m: 0
Adoption not part of the score
3584 stars · 446 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
Official PyTorch implementation of VToonify, a SIGGRAPH Asia 2022 framework for controllable high-resolution portrait video style transfer built on StyleGAN. It extends StyleGAN-based image toonification models (Toonify, DualStyleGAN) to temporally consistent video toonification with flexible style control.
Use cases
- toonify portrait videos with cartoon styles
- transfer artistic styles to face videos at high resolution
- apply exemplar-based style transfer to portrait images and videos
- control color and intensity of toonified output
- run toonification inference in Colab or Hugging Face demo
When to choose
- you need research-grade portrait video toonification with temporal consistency
- you want StyleGAN-based controllable artistic face stylization
- you need to process non-aligned faces in variable-size video frames
When to avoid
- you need a production-ready end-user application with a polished UI
- you need general-purpose video style transfer beyond portrait faces
- you require a permissive license for commercial use
Facets
library · maturity maintenance
image-processing video-processing machine-learning deep-learning computer-vision image-processing deep-learning artificial-intelligence python cross-platform stylegan style-transfer toonification portrait-video pytorch research-code siggraph-asia video gpu
1 source
- readme: https://github.com/williamyang1991/VToonify · fetched 2026-08-28 · 7ad657c43025
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| williamyang1991/VToonify | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="williamyang1991/VToonify")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem