Krea 2 Medium debuts at #6 on the Artificial Analysis Text to Image Leaderboard, trailing only models from OpenAI, Google, and NVIDIA!
Krea 2 is @krea_ai's first image model family trained entirely from scratch (Krea 1 was developed in collaboration with Black Forest Labs). Krea 2 is available in two variants: Krea 2 Medium, and Krea 2 Large, which is more comparable to FLUX.2 [pro] in our arena.
Notably, Krea 2 Medium outranks the larger, more expensive Krea 2 Large in our arena. Krea describes Medium as smaller and faster, with extensive post-training that makes its outputs especially stable and consistent across generations. While Large is positioned as the more capable model, our leaderboard results align with Krea's view that Medium "handles the broadest range of use cases reliably."
Both models generate at 1K resolution and share a distinct set of generation controls via the API:
➤ Style transfer: Krea can extract the style of up to 10 reference images, with each image being able to be weighted in terms of importance
➤ Creativity Setting: A configurable API parameter (raw, low, medium, high) that sets how closely the model follows the prompt versus reinterpreting it
➤ Moodboards: A collection of images that can be collected in the application to apply a style transfer onto the image (separate from individual style reference images)
At $30 per 1k images via Krea's API, Krea 2 Medium is priced below comparable models such as Nano Banana Pro at $134/1k images or grok-imagine-image-quality at $50/1k images. Krea 2 Large is priced at $60 per 1k images, and both models' prices increase with the use of the Style Transfer and Moodboard features.
Both models are available in the Krea app, via Krea's API, and on official third-party launch partners. Congratulations to @krea_ai on the launch!
See below for comparisons between Krea 2 and other leading models in our Artificial Analysis Image Arena 🧵
Krea 2 is now on @ArtificialAnlys
#1 image model from an independent research lab and #6 globally on text-to-image leaderboard.
open-source cooking and coming soon.
I spent $30k and 3 months RL post-training an anime video model.
This is only step 30 out of a planned 1000 step run.
All samples are local text-to-video with no reference image/audio. Since it's based on LTX-2.3, each output takes under a minute on a single GPU.
I'm 19 and a solo researcher. Most of the budget went into ablations, reward design, and trying different configurations before reaching this setup.
The run is still extremely early, but the results already look much better than I expected.
It's compute-limited, not idea-limited.
I'm starting a company to continue scaling this and build frontier stylized video models.
If you're an investor, compute partner, video team, or someone who wants to help build this, DMs are open.
@yspritanR we're not intentionally making seedance 2 more expensive. Those are the prices that they charge us for offering the model on our API. you'll pay a similar rate on other platforms too