jaakkoc
https://www.glassdoor.com/Overview/Working-at-Proton-privacy...
The blog post you linked uses ChatGPT, which uses generative cloud AI with billions of parameters, which does indeed make up stuff.
The models that are diff'd on this blog post uses a whole different local architecture which has nothing to do with ChatGPT or Nano Banana 2, which the likes the blog post critiques. It is more rooted in older tech pre-generative era.
I do agree with the blog post, and "fool most people" -effect is especially strong when it's an old photo from a time that is not freshly in the viewers memory, and the subject no longer looks like it.
The end goal on working on this program has been that the user shouldn't care much about what model/architecture/whatever tech is used, and should be abstracted away as much as possible. Though in a blog post like this it should be mentioned, it was hard to break away from that self-imposed mental jail :)
At scale, this tool should speed that process up a "bit". Let's say 100s of photos.
Fuller disclaimer: this kind of a "postmark"-sized pic blowup test case is borderline unfair to every model in the comparison, mine included.
Show HN: Enlarger • A local upscaler that keeps detail instead of smoothing it
Hey everyone! I know there are gazillion alternatives out there especially with AI and all, but this nevertheless is my take on it.I created it because I was frustrated with the options I was seeing in the market. Too heavy, too complex, UX was meh, the output created was not resonating with my style of photography, they are generally glitchy or hallucinate too much, and I dislike subscription...
(/s)