alt Hacker NewsThe honest answer is that the team is pretty happy with the text to image of Krea 2 and our team prioritized editing which was the big gap in the previous model’s capabilities.
We know users are used to using one model for everything though and have already turned our attention to the text to image side; that message is to let people know that the text to image performance is not final, we expect the final tuning of Krea 3 to beat Krea 2’s high bar there soon.
Replies
dvrp • today at 4:38 PM
(for context, matthew worked first hand on the development of krea 3!)
> The honest answer is that the team is pretty happy with the text to image of Krea 2 and our team prioritized editing which was the big gap in the previous model’s capabilities.
I definitely agree. Part of my benchmark includes a "compliance score" which is effectively how easy it is to steer the model and Krea 2 ranks among the highest of the local models.
> We know users are used to using one model for everything though and have already turned our attention to the text to image side
Thanks for the answer. It definitely seems like open-weight unified models are becoming much more popular (Qwen-Image 2.1, Ming 0.1, upcoming Ideogram 4.5, etc).
Looking forward to it!