Cool, but how are you paying for the inference if it's free?
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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.
To keep the project sustainable in the long run, I'm exploring some options, like potentially offering a paid tier for heavy users or more advanced features. For now, I'm focused on improving the core experience and will do my best to keep costs low so it remains accessible to as many people as possible.