8/ With that, we reframed multimodal generation as structured text/code generation. Diffusion just renders pixels. Planning, logic, reasoning all live in the LLM — so training looks like normal LLM training, and inherits all benefits of it: data + model scaling, reasoning, RL, tool use.
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1/ Our new @reve image model is now #2# on the @arena text-to-image leaderboard — behind only GPT Image 2, ahead of Nano Banana Pro, Microsoft, xAI and everyone else.
And it's a 125 point jump over Reve 1.5 from just 3 months ago.
The research story behind it 🧵👇
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Today, we’re launching Reve 2.0, the best 4K image model in the world.
We invented a new way to generate and edit any image using precise layouts. For the first time, it’s possible to create images you can touch.
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