STARFlow2: Bridging Language Models and Normalizing Flows for Unified Multimodal Generation

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Apple’s machine learning research team released the STARFlow2 model on August 25, 2026. This model aims to bridge the gap between language models and normalized flows, achieving unified and high-quality multi-modal content generation capabilities for images and text by combining their advantages.

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STARFlow2

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STARFlow21

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A Apple ML Research en 2026-08-25 08:00

STARFlow2 proposes a unified multi-modal generation method aimed at addressing the structural fragmentation issues encountered by existing models in understanding, reasoning, and generating interleaved text-image sequences. This method utilizes autoregressive normalizing flows, which are the most suitable architecture choice due to their shared causal mask, KV cache mechanism, and从左到右 structure.