Unverified50% confidenceFactExact time
Latent Consistency Models (LCM) apply consistency distillation to the latent space, enabling high-quality image generation in 1–4 steps, and have been widely adopted by the community.
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9/9/2026
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UnverifiedLCM（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70% similarUnverifiedBERT's MLM performs one-shot prediction and is primarily used for representation learning, whereas discrete diffusion models treat the masking ratio as a continuous variable from 0% to 100% to construct a complete Markov chain, achieving progressive generation through multi-step iteration.65% similarVerified扩散模型以 DALL-E 2、Stable Diffusion、Midjourney 为代表，重新定义了图像生成任务64% similarVerifiedStable Diffusion is based on the Latent Diffusion Model and generates high-quality images by performing a denoising process in a compressed latent space63% similarUnverifiedA unified autoregressive framework allows the optimization toolchain from the LLM ecosystem—including KV-cache management, tensor parallelism strategies, and speculative decoding—to be directly reused for image generation.63% similar
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