Compare waifu2x vs VQGAN-CLIP and see what are their differences.


Image Super-Resolution for Anime-Style Art (by nagadomi)


Just playing with getting VQGAN+CLIP running locally, rather than having to use colab. (by nerdyrodent)
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waifu2x VQGAN-CLIP
403 67
27,031 2,533
- -
0.0 0.0
10 months ago over 1 year ago
Lua 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 waifu2x. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-09.


Posts with mentions or reviews of VQGAN-CLIP. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-23.

What are some alternatives?

When comparing waifu2x and VQGAN-CLIP 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 II, 2018.

Anime4K - A High-Quality Real Time Upscaler for Anime Video

CLIP-Guided-Diffusion - Just playing with getting CLIP Guided Diffusion running locally, rather than having to use colab.

Real-ESRGAN - Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

DALLE-mtf - Open-AI's DALL-E for large scale training in mesh-tensorflow.

Magpie - An all-purpose window upscaler for Windows 10/11.

image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

deep-daze - Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun

stable-diffusion - A latent text-to-image diffusion model

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

cupscale - Image Upscaling GUI based on ESRGAN