Unverified50% confidenceFactExact time
Stable Diffusion XL约有34亿参数，推理一张图像需要执行20至50步去噪迭代
1
Sources
50%
Confidence
Long-term
Relevance
7/18/2026
First Seen
Sources
Related Claims
Unverified三种动作生成方案的权衡：自回归方式实现简单但精度受限于离散化粒度；扩散策略表达力强但推理慢（通常需50-100步去噪）；flow matching在精度和速度间取得平衡（通常10-20步积分）69% similarVerified扩散模型通过逐步去噪从随机噪声中还原目标图像或视频帧，通常需要数十步去噪迭代，计算开销极大69% similarUnverified扩散模型的推理是迭代去噪过程，通常需要数十甚至数百个时间步，对数值误差格外敏感67% similarUnverified扩散模型（Diffusion Model）的兴起使Stable Diffusion、Midjourney等工具将图像生成门槛降至消费级硬件可运行水平63% similarUnverified扩散模型的迭代去噪过程对数值误差敏感，每步的微小误差会累积并影响最终图像，采样步数越多量化误差影响越大62% similar
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