picsum-photos VS libvips

Lorem Picsum is a free picture placeholder service that can be used on websites, apps, or anywhere a placeholder image is needed. It provides a simple API that can obtain random images through HTTP requests, and can also specify specific image sizes and other parameters. Lorem Picsum also provides a website where pictures can be browsed and downloaded. These images are uploaded by photographers from the Unsplash community and are free for personal and commercial use. URL: https://picsum.photos/

export const loader = async () => { const response = await fetch('https://picsum.photos/200/300'); const blob = await response.blob(); return new Response(blob, { headers: { 'Content-Type': 'image/jpeg', }, }); };

Lorem Picsum provides a convenient source of high-quality placeholder images, ideal for design and development projects. It's super simple to use. Just add your desired image size (width & height) after the URL (https://picsum.photos/200/300), and you'll get a random image. It's perfect for when building and testing the interface of your project.

pull random images from picsum

Lorem Picsum provides random placeholder images, adding visual appeal to your designs.

Something I'm thinking is to put a webpage in the background url that gives a random image (like what picsum.photos does but with a collection of my choice).

this is what you are looking for --> https://picsum.photos/

After some research, I found libvips, a demand-driven, horizontally threaded image processing library. It is designed to run quickly while using as little as memory as possible.

Sharp is a fast and efficient image optimization Node.js module that makes use of the native libvips library.

h2non/bimg can handle both if the underlying libvips is compiled with support for both formats.

if you're using linux (which it doesn't seem so) there's also vispdisp https://github.com/jcupitt/vipsdisp which is based on https://github.com/libvips/libvips which will likely take over how images are decoded in the future for everything, at least methodology wise.

The magic happens by way of a library called Libvips, which contains an ultra-high-speed low-memory image resizer.

imagor uses one of the most efficient image processing library libvips. It is typically 4-8x faster than using the quickest ImageMagick and GraphicsMagick settings.

Try the solutions here: https://github.com/libvips/libvips/issues/2479

in that case maybe take a look at https://github.com/libvips/libvips

libvips v8.6+ or ImageMagick for image analysis and transformations