Images are just too big. A 3 MB bitmap compresses down to a 500 KB JPEG, which, don’t get me wrong, 16% of the original size is great, but why 500 KB? That’s still pretty large.

This is 2022, we shouldn’t have to put up with large images. Our websites might load 60 MB of stuff for a pageview, but that stuff shouldn’t be images, it should be Javascript, as Brendan Eich intended.

We shouldn’t have to put up with fat images, but, until now, we had no choice.

Now we do.

The solution

a computer compressing data, by Caspar David Friedrich, matte painting trending on artstation HQ

A week or so ago, Stable Diffusion was released, and the world went crazy, and for good reason. Stable Diffusion, if you haven’t heard, is a new AI that generates realistic images from a text prompt. You basically give it a description of the image you want, and it generates it.

Now, this alone would be revolutionary, but we got double the revolution this time: This thing can also take an image and tell you the prompt you can use to generate it.

Are you thinking what I’m thinking?

That’s right, why compress an image to 500 KB when you can compress it to 50 bytes, where the bytes are the prompt that can be used to generate the exact same image again?

You wouldn’t, of course not.

Instead, what you would do, is ask the image-describing AI to describe the image, take the resulting (very small) prompt, transmit it over the wire, where the recipient would then use it to generate the image again based on the prompt.

I call this technique STAV, or Stable Transcription and Artistic Validation. Yes, the acronym might not contain any of the words “image”, “compression”, “reconstruction”, or “diffusion”, but Philip Katzip isn’t going to be the only one giving his name to compression techniques. //

As you can see, there is basically no loss in quality, even though the images’s sizes are around a ten-thousandth the original’s. This is an absolutely astonishing result, and will definitely herald a new era of compression. There are even some cases where quality is better than the original, and it is astonishing for a compressor to achieve 100%+ quality.

There are some minor kinks that need to be worked out, such as the fact that each image takes around a day to generate on mobile, but this is more than acceptable in certain domains. Website visitors, for example, are well-accustomed to such loading times, and would barely notice any difference.