Unverified50% confidenceTradeoffExact time
扩散模型在全局一致性上表现更好但推理速度较慢,自回归模型以逐帧或逐片段方式生成
1
Sources
50%
Confidence
Long-term
Relevance
8/30/2026
First Seen
Sources
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Unverified扩散模型与自回归多模态模型在角色一致性、复杂指令遵循和生成速度上各有侧重,没有绝对优劣78% similarUnverified扩散模型推理速度较慢,通常需要数十步去噪迭代才能生成一张图像,这催生了DDIM、DPM-Solver等加速采样算法77% similarUnverified扩散模型可对整个序列并行去噪,而非像自回归模型那样逐字推进,理论上能提升生成吞吐量76% similarUnverified一致性模型试图将扩散模型多步去噪过程压缩至1-4步完成,理论上可将推理速度提升10-50倍76% similarUnverified扩散模型通过全局并行生成和迭代修正,能从根本上规避自回归模型的「曝光偏差」(Exposure Bias)累积错误问题76% similar
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