stylegan2-pytorch
Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement (by lucidrains)
waifu2x
Image Super-Resolution for Anime-Style Art (by nagadomi)
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| stylegan2-pytorch | waifu2x | |
|---|---|---|
| 1942 | 398 | |
| 3,479 | 26,265 | |
| - | - | |
| 2.1 | 4.3 | |
| 10 months ago | 28 days ago | |
| Python | Lua | |
| MIT License | MIT License |
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.
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
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 2023-04-05.
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Meta AI has released *both* the Model AND the dataset for Segment Anything, and impressive new foundation model that can segment different objects in images
Nvidia is the one who made GANs popular. All this buzzword that people say about Generative AI, it was popularised by Nvidia with their StyleGAN paper. You must have seen or hear about thispersondoesnotexist.com? That's Nvidia.
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StyleGAN-T Nvidia, 30x Faster than SD?
GANs on the other hand uses a generator and discriminator model, where the generator learns to generate images that are "good enough" to fool the discriminator. It may make it easier to make discriminators that are better at picking out visual artefacts that stand out for humans, (it was easy to pick out "fake humans" from the early versions of thispersondoesnotexist.com by looking at their eyes and teeth, they tend to be pointing in different directions, or their teeth are too irregular before the discriminator got better at picking those out) but they can suffer from mode collapse, and generate images with very little variety.
- Site para criar AI art de graça, não é tão bom quanto um midjourney da vida, mas esse deixa você gerar até 1000 imagens por dia: playgroundai.com
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Are there jobs that have intersections between graphics and machine learning?
Generative networks like StyleGAN
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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
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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?
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These are not real people. These are all images created by AI
Another great place to see AI generated faces: https://thispersondoesnotexist.com/
waifu2x
Posts with mentions or reviews of waifu2x.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-19.
- No libraries, no frameworks. With just Javascript and a HTML Canvas I finally finished my game. Source code in comments.
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Piracy's the Way
https://github.com/nagadomi/waifu2x for mange/anime
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Anyone having a hq wallpaper for this image?
I have used waifu2x in the past. I'm gonna check this out and see if it works better.
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The dangers behind image resizing
Waifu2x - I've used the library to upscale both old photos and videos with enough success to be pleased with the results.
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Ayatar: Way of the Hydro - General Question and Discussion Thread
Here: https://waifu2x.udp.jp/
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Upscayl - Free and Open Source AI Image Upscaler for Linux, Mac and Windows
GUI is nice, but from having a play around I feel that Waifu2x gives me more realistic upscaled photos if you're prepared to play with the settings a bit. This is a better click & go option though.
Well if this is updated and maintained I'm fine with the alternative offered here.
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Best AI Up Scale Program
I use Waifu2x lol https://github.com/nagadomi/waifu2x
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Stable Diffusion on AMD RDNA™ 3 Architecture
Waifu2x in particular, is one of the oldest and still one of the best AI upscalers for anime and drawings in general, and it has always heavily favored Nvidia. The most known port was not the original Waifu2x by nagadomi, but Waifu2x-caffe, which was much more feature rich, and supported CUDA and cuDNN, both Nvidia exclusive. There was an OpenCL alternative which worked on AMD, but it was only as fast as Waifu2x-caffe under CUDA, but with cuDNN it still blew the OpenCL out of the water.
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Blue Eyes White Dvalin - General Questions and Discussion Thread
Plenty, waifux2 speaks for itself
What are some alternatives?
When comparing stylegan2-pytorch and waifu2x you can also consider the following projects:
video2x - A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR. Started in Hack the Valley 2, 2018.
Anime4K - A High-Quality Real Time Upscaler for Anime Video
Real-ESRGAN - Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
DeepFaceLab - DeepFaceLab is the leading software for creating deepfakes.
Magpie - An all-purpose window scaling tool.
VQGAN-CLIP - Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.
awesome-pretrained-stylegan2 - A collection of pre-trained StyleGAN 2 models to download
cupscale - Image Upscaling GUI based on ESRGAN
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
stylegan2-ada - StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation
image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.