Krea 2 just made a statement. The creative AI platform's first fully homegrown image model debuted at #6 on the Artificial Analysis Text-to-Image Leaderboard, sitting just behind models from OpenAI, Google, and NVIDIA. More surprisingly, the smaller and cheaper of its two variants, Krea 2 Medium, outranked the larger Krea 2 Large in blind user voting. For a company that previously built its image model in collaboration with Black Forest Labs, this is a meaningful leap.
From collaboration to independence
Krea 1 was created as a research collaboration between Krea and Black Forest Labs. FLUX.1 Krea [dev] was the open-weights version of that model, offering strong performance with highly distinctive aesthetics and exceptional realism. Krea 2 is a different story entirely. It is Krea's first foundation image model, trained completely from scratch to give users full control over the look, feel, and creative direction of every image they create. The company is no longer building on someone else's base weights.
Most image models are good at understanding what you want in an image. Krea 2 is built around the second part: how you want it to look. That framing is central to everything about this release. Where other models optimize for prompt fidelity and photorealism, Krea 2 is explicitly designed around aesthetics, style consistency, and creative range.
Two models, one winner
Krea 2 ships in two variants with meaningfully different characters:
- Krea 2 Medium: A smaller, faster, and more cost-efficient model with extensive post-training applied. This makes its outputs especially stable and consistent across generations. Medium is particularly strong on illustration, anime, painting, and other expressive or artistic styles.
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