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70 points Zephyrion | 1 comments | | HN request time: 0.213s | 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. roenxi ◴[] No.44518860[source]
One of the issues with staggered releases is they are easy to forget about. BFL have apparently made the weights to the Kontext Dev model available, but because it didn't happen when they announced Kontext I'd compeltely forgotten about it.

These models look fantastic, we've finally got something solid in the public sphere that goes beyond stable diffusion style word vomit for prompting. It was obviously coming sooner or later, but happily it seems to be here. It is unfortunate for the public that, as far as I can see, they didn't actually open the weights up since they aren't free for commercial use.