What makes the Uni-1 API different from other image generators?

Uni-1 uses autoregressive generation (token-by-token prediction like LLMs) rather than diffusion-based noise removal. This unified architecture means understanding and generation share the same processing pipeline, enabling the model to reason through complex instructions, maintain context across edits, and evaluate its own outputs during creation.