stylegan2-pytorch
awesome-pretrained-stylegan2
Our great sponsors
stylegan2-pytorch | awesome-pretrained-stylegan2 | |
---|---|---|
1896 | 7 | |
3,379 | 1,140 | |
- | - | |
2.6 | 2.6 | |
6 months ago | 7 months ago | |
Python | Python | |
MIT License | - |
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.
stylegan2-pytorch
-
A developer on twitter asked an AI to generate party pictures…
It's interesting that AI generated pictures of people can get most things right but seemingly always struggles with teeth & fingers. If you check out thispersondoesnotexist.com the teeth are almost always goofy looking...
Teeth as well, check out thispersondoesnotexist.com you'll come across a lot of convincing looking people with odd teeth
-
I guess we can just pull people out of thin air now.
https://thispersondoesnotexist.com/ has been around for 4 years now...
I remember there was https://thispersondoesnotexist.com/ Did it also work on StableDiffusion beneath?
-
These are not real people. These are all images created by AI
Another great place to see AI generated faces: https://thispersondoesnotexist.com/
Check out https://thispersondoesnotexist.com/
Similarly check out This Person Does not Exist . com
There is this website called This Person Does Not Exist that shows you a random AI generated photo each time you refresh.
awesome-pretrained-stylegan2
-
List of sites/programs/projects that use OpenAI's CLIP neural network for steering image/video creation to match a text description
Many of the items on the first list below are Google Colaboratory ("Colab") notebooks, which run in a web browser; for more info, see the Google Colab FAQ. Some Colab notebooks create output files in the remote computer's file system; these files can be accessed by clicking the Files icon in the left part of the Colab window. For the BigGAN image generators on the first list that allow the initial class (i.e. type of object) to be specified, here is a list of the 1,000 BigGAN classes. For the StyleGAN image generators on the first list that allow the specification of the StyleGAN2 .pkl file, here is a list of them.
-
Pre-trained StyleGAN2 model
For some more good pretrained StyleGAN2 weights: https://github.com/justinpinkney/awesome-pretrained-stylegan2 (unfortunately some of the download links are dead though)
-
[P] Stylegan on ~5k images
I found this page after a quick google search https://github.com/justinpinkney/awesome-pretrained-stylegan2 but if this one doesn't work there are others. You can also just use StyleGan (v1) and have great results, I'm not sure that the v2 is much better.
-
How to make a pretrained StyleGan model?
like these models: https://github.com/justinpinkney/awesome-pretrained-stylegan2
What are some alternatives?
DeepFaceLab - DeepFaceLab is the leading software for creating deepfakes.
stylegan2-ada - StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation
VQGAN-CLIP - Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
dalle-mini - DALL·E Mini - Generate images from a text prompt
waifu2x - Image Super-Resolution for Anime-Style Art
first-order-model - This repository contains the source code for the paper First Order Motion Model for Image Animation
go-unsplash - Go Client for the Unsplash API
stylegan2 - StyleGAN2 - Official TensorFlow Implementation
duckduckgo-locales - Translation files for duckduckgo.com
og-image - Open Graph Image as a Service - generate cards for Twitter, Facebook, Slack, etc