[KongchangAI]
ModelLatent Consistency Model

LCM

An image generation model based on consistency distillation techniques. It achieves fast, high-quality image generation by substantially reducing the number of diffusion inference steps required.

Timeline (last 90 days)

Oct 9

Representative few-step distilled models include SDXL-Turbo, LCM (Latent Consistency Model), and Flash Diffusion.

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Sep 20

LCM (Latent Consistency Model) can significantly reduce the number of diffusion steps.

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Sep 16

Acceleration nodes in the ComfyUI ecosystem are typically implemented based on consistency distillation or flow matching acceleration techniques (such as LCM, TCD, or Hyper-series LoRA) to compress the number of inference steps.

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Sep 15

Common inference acceleration techniques include consistency distillation, flow matching, and diffusion model step compression methods such as LCM and SDXL-Turbo.

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Sep 9

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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Sep 4

The Turbo and LCM variants of Stable Diffusion compressed the number of sampling steps from dozens down to 1–4 steps through consistency distillation

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