LiminalGan VS stylegan2

Compare LiminalGan vs stylegan2 and see what are their differences.


A stylegan2 model trained on liminal space images (by limgan)


StyleGAN2 - Official TensorFlow Implementation (by NVlabs)
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LiminalGan stylegan2
3 30
4 8,974
- 2.8%
3.1 2.8
10 months ago about 1 month ago
Jupyter Notebook Python
MIT License GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.


Posts with mentions or reviews of LiminalGan. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-04.


Posts with mentions or reviews of stylegan2. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-08.

What are some alternatives?

When comparing LiminalGan and stylegan2 you can also consider the following projects:

stylegan - StyleGAN - Official TensorFlow Implementation

pix2pix - Image-to-image translation with conditional adversarial nets

awesome-pretrained-stylegan2 - A collection of pre-trained StyleGAN 2 models to download

stylegan2-pytorch - Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement


stylegan2-ada - StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation

ffhq-dataset - Flickr-Faces-HQ Dataset (FFHQ)

waifu2x - Image Super-Resolution for Anime-Style Art

repology-rules - Package normalization ruleset for Repology

progressive_growing_of_gans - Progressive Growing of GANs for Improved Quality, Stability, and Variation

stylegan2-generated-image - High-resolution image generation results in a hostile generation network using StyleGAN2