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  "text": "NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale\n\n\"Autoregressive models—generating content step-by-step like  reading a sentence—excel in language but struggle with images.  Traditionally, they either depend on costly diffusion models or compress  images into discrete, lossy tokens via vector quantization (VQ). NextStep-1 takes a different path: a 14B-parameter autoregressive model  that works directly with continuous image tokens, preserving the full  richness of visual data. It models sequences of discrete text tokens and  continuous image tokens jointly—using a standard LM head for text and a  lightweight 157M-parameter flow matching head for visuals. This unified  next-token prediction framework is simple, scalable, and capable of  producing stunningly detailed image\"",
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