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These projects were analysed and named latent-consistency-model among their alternatives. The relationship is not symmetric — how latent-consistency-model rates them is a separate judgement, made when latent-consistency-model is analysed in its own right.
calls latent-consistency-model “few-step latent diffusion model when sampling speed matters, but requires consistency-distilled training instead of LDM's full framework”
High-Resolution Image Synthesis with Latent Diffusion Models
calls latent-consistency-model “Few-step consistency distillation; choose when generation speed is more important than DALL-E 2's slower prior/decoder pipeline.”
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
calls latent-consistency-model “Choose when you want LCM-distilled few-step Stable Diffusion inference rather than Sana's linear-DiT codebase; older and tied to SD.”
SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer