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Reve 2.1 released; continue treating images as code to generate and modify more precisely.
Reve 2.1 continues to follow the “plan the layout first, then render” approach. The model will first arrange the positions of people, objects, and text, then generate a 16 million-pixel image. Each region can be edited and re-rendered independently, without having to redo the entire image.
On the Arena text-to-image leaderboard, Reve 2.1 currently ranks second with a score of 1306. It is only behind OpenAI’s GPT Image 2 and surpasses Meta’s Muse Image. Compared with Reve 2.0, its score increased by 36 points.