upscale VS chaiNNer-Templates

Compare upscale vs chaiNNer-Templates and see what are their differences.

upscale

My VitePress website I made to visually compare the output I created with over 600 different AI upscaling models. Running under https://phhofm.github.io/upscale/ (by Phhofm)

chaiNNer-Templates

Pre-made chains/templates for chaiNNer. Pytorch, NCNN, and ONNX included. (by Kim2091)
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upscale chaiNNer-Templates
2 2
36 146
- -
6.8 5.0
10 months ago 4 months ago
JavaScript
- GNU General Public License v3.0 only
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.

upscale

Posts with mentions or reviews of upscale. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-12.
  • Interactive Visual Comparison of Upscaling Models
    1 project | news.ycombinator.com | 14 Jun 2023
  • Upscale Models Interactive Comparison Resource
    3 projects | /r/ArtificialInteligence | 12 Nov 2022
    I divided the Multiple Models page into different sets which grew over time, with Set 4 being the newest and largest. But since it might be a little too much, I also provide a Favorites page where you can compare the ones I personally liked best with only around 12 models, the sources for the favorites page (input and output images) are found here so you can compare the output yourself with your own favorite upscaler (be sure to output in .jpg also, to compare a compressed image with a compressed image to keep it fair).

chaiNNer-Templates

Posts with mentions or reviews of chaiNNer-Templates. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-05.

What are some alternatives?

When comparing upscale and chaiNNer-Templates you can also consider the following projects:

chaiNNer - A node-based image processing GUI aimed at making chaining image processing tasks easy and customizable. Born as an AI upscaling application, chaiNNer has grown into an extremely flexible and powerful programmatic image processing application.

Latent-Space-Upscaling-Guide- - This guide will teach you how to properly use latent upscaling!

fast-stable-diffusion - fast-stable-diffusion + DreamBooth

chaiNNer - A flowchart/node-based image processing GUI aimed at making chaining image processing tasks (especially upscaling done by neural networks) easy, intuitive, and customizable. [Moved to: https://github.com/chaiNNer-org/chaiNNer]

enhancr - Video Frame Interpolation & Super Resolution using NVIDIA's TensorRT & Tencent's NCNN inference, beautifully crafted and packaged into a single app

depixelate - Upscale an illustration and increase details

pro-react-admin - 基于React: v18.x.x/Webpack: v5.x.x//Vite: 4.x.x/React Router v6.x.x/ Antd: v5..x.x/Typescript: v5.x.x/Fetch Api/等最新版本进行构建的企业级中台前端基础模板...

BasicSR - Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.