STARFlow2 Unifies Multimodal Generation via Autoregressive Normalizing Flows

STARFlow2 uses autoregressive normalizing flows to bridge language models and continuous modalities. By sharing causal masks and KV-cache mechanisms with LLMs, it enables unified, interleaved text-image generation without discrete tokenization losses.