Unverified50% confidenceFactExact time
LCM（Latent Consistency Model）由清华大学团队提出，通过一致性蒸馏将传统需要20-50步的DDIM推理压缩至1-4步
1
Sources
50%
Confidence
Long-term
Relevance
7/25/2026
First Seen
Sources
CivitAI抢先体验争议：开源精神与商业化边界在哪里？
redditr/StableDiffusion7/11/2026
Related Claims
UnverifiedConsistency models attempt to compress the multi-step denoising process of diffusion models into 1–4 steps, theoretically capable of improving inference speed by 10–50 times.70% similarUnverifiedDPM-Solver由Cheng Lu等人于2022年提出，将扩散模型反向ODE重写为半线性结构，采样步数压缩至约10步68% similarUnverifiedThe theoretical foundation of diffusion models was unified by Song Yang et al. in 2020 through a stochastic differential equation (SDE) framework; the discovery of probability flow ODEs enabled deterministic sampling and gave rise to accelerated sampling methods such as DDIM, compressing the number of sampling steps from 1000 to 10–50.67% similarUnverified时序基础模型像LLM一样规模化，也意味着类似LLM的推理成本，企业端能否承受存疑65% similar
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