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70 points Zephyrion | 1 comments | | HN request time: 0.271s | source

Hi HN,

After spending some time with the new `flux kontext dev` model, I realized its most powerful capabilities aren't immediately obvious. Many people might miss its true potential by just scratching the surface.

I went deep and curated a collection of what I think are its most interesting use cases – things like targeted text removal, subtle photo restoration, and creative style transfers.

I felt that simply writing about them wasn't enough. The best way to understand the value is to see it and try it for yourself.

That's why I built FluxKontextLab (https://fluxkontextlab.com).

On the site, I've presented these curated examples with before-and-after comparisons. More importantly, there's an interactive playground right there, so you can immediately test these ideas or your own prompts on your own images.

My goal is to share what this model is capable of beyond the basics.

It's still an early project. I'd love for you to take a look and share your thoughts or any cool results you generate.

1. chrismorgan ◴[] No.44531020[source]
> Restore and colorize old photos with AI precision

I’ve got to admit, I chuckled to myself at the absurdity of the phrase “AI precision”, given how badly these things are known to go off the rails. Sure, sure, things have improved a lot in the last few years, and Kontext’s limitations make such problems far less likely to occur, but still, permit me to be amused. :-)

… but then too, do compare https://fluxkontextlab.com/pages/home/showcase/2/1.jpg and https://fluxkontextlab.com/pages/home/showcase/2/0.webp closely, there are material differences. A few of the most notable ones: the picture is reframed, with a significant amount invented at the bottom (which has realism concerns that you can see when you actually examine it); fog effects have been reduced (perhaps implied by “restore … its clear texture”, which seems a weird instruction to me); and something’s gone wrong with the right wing of the pigeon at the bottom that’s facing the camera.

I think it would be nice to, in each case, align the two as well as possible (even the Product Display example) and present them in such a way that you can rigorously compare the beginning and end points, and see what modifications have been made, intended and unintended.