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DMD (Distribution Matching Distillation) is an acceleration technique that distills a multi-step diffusion model into a generator with very few steps (typically 4-8 steps).
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10/21/2026
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UnverifiedDPM-Solver is a fast sampling algorithm used to optimize the sampling process of diffusion models.71% 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70% similarUnverifiedCommon inference acceleration techniques include consistency distillation, flow matching, and diffusion model step compression methods such as LCM and SDXL-Turbo.68% similarUnverifiedRepresentative few-step distilled models include SDXL-Turbo, LCM (Latent Consistency Model), and Flash Diffusion.64% similarUnverifiedFSD models compress the tens to hundreds of sampling steps of standard diffusion models down to 1–8 steps through knowledge distillation.63% similar
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