QualityScaler: Image/video deeplearning upscaler with any GPU

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • QualityScaler

    QualityScaler - image/video deeplearning upscaling for any GPU

  • Apparently it's a known issue: https://github.com/Djdefrag/QualityScaler/issues/21

  • upscayl

    🆙 Upscayl - Free and Open Source AI Image Upscaler for Linux, MacOS and Windows built with Linux-First philosophy.

  • A VERY similar project was submitted to Awesome F/OSS, Upscayl:

    https://github.com/upscayl/upscayl

    Wonder what the comparison is…

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • waifu2x

    Image Super-Resolution for Anime-Style Art

  • waifu2x-ncnn-vulkan

    waifu2x converter ncnn version, runs fast on intel / amd / nvidia / apple-silicon GPU with vulkan

  • 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.

  • For anyone interested in different upscaling models, there is a collection in the wiki here:

    https://upscale.wiki/wiki/Model_Database

    My personal favourite is Remacri for photographs, but you should download a few of them and try what works best for the photo/image you have.

    You can use either Automatic1111's repo for stable diffusion to try them out (put the model file in the ESGRAN directory), or also chaiNNer (https://github.com/chaiNNer-org/chaiNNer)

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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