awesome-pretrained-stylegan2 VS stylegan2-pytorch

Compare awesome-pretrained-stylegan2 vs stylegan2-pytorch and see what are their differences.

awesome-pretrained-stylegan2

A collection of pre-trained StyleGAN 2 models to download (by justinpinkney)

stylegan2-pytorch

Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement (by lucidrains)
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awesome-pretrained-stylegan2 stylegan2-pytorch
5 923
841 2,605
- -
0.5 6.2
16 days ago about 1 month ago
Python Python
- MIT License
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awesome-pretrained-stylegan2

Posts with mentions or reviews of awesome-pretrained-stylegan2. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-07-27.

stylegan2-pytorch

Posts with mentions or reviews of stylegan2-pytorch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-25.

What are some alternatives?

When comparing awesome-pretrained-stylegan2 and stylegan2-pytorch you can also consider the following projects:

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

DeepFaceLab - DeepFaceLab is the leading software for creating deepfakes.

mediapipe - Cross-platform, customizable ML solutions for live and streaming media.

waifu2x - Image Super-Resolution for Anime-Style Art

go-unsplash - Go Client for the Unsplash API

og-image - Open Graph Image as a Service - generate cards for Twitter, Facebook, Slack, etc

first-order-model - This repository contains the source code for the paper First Order Motion Model for Image Animation

quickstart-android - Firebase Quickstart Samples for Android

yt-dlp - A youtube-dl fork with additional features and fixes

yanderifier - First-Order-Wrapper (formerly known as Yanderify) is a front-end tool for first-order-motion. It aims to make using first-order-motion face animation accessible to everyone, for education and entertainment.

gpt-2 - Code for the paper "Language Models are Unsupervised Multitask Learners"