StyleGAN-anime and GAN-Anime-Characters

These two tools are competitors, as both aim to provide implementations of various StyleGAN architectures for generating anime faces, offering similar functionality and coverage of StyleGAN versions.

StyleGAN-anime
38
Emerging
GAN-Anime-Characters
38
Emerging
Maintenance 2/25
Adoption 9/25
Maturity 16/25
Community 11/25
Maintenance 0/25
Adoption 9/25
Maturity 16/25
Community 13/25
Stars: 76
Forks: 7
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 73
Forks: 9
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About StyleGAN-anime

maximkm/StyleGAN-anime

StyleGAN and StyleGAN2 implementation for generating anime faces.

About GAN-Anime-Characters

Tejas-Nanaware/GAN-Anime-Characters

Creating Anime Faces using Generative Adversarial Networks (GAN) techniques such as: DCGAN, WGAN, StyleGAN, StyleGAN2 and StyleGAN3. Top repos on GitHub for AnimeFace GAN Generative AI Models

Scores updated daily from GitHub, PyPI, and npm data. How scores work