UniCMs applies consistency distillation to a unified multimodal transformer, treating image mask-diffusion steps and text parallel-decoding steps as one shared denoising trajectory, enabling 2 to 8 step generation and faster captioning.
Meissonic: Revitalizing masked generative transformers for efficient high- resolution text-to-image synthesis
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UniCMs: A Unified Consistency Model For Efficient Multimodal Generation and Understanding
UniCMs applies consistency distillation to a unified multimodal transformer, treating image mask-diffusion steps and text parallel-decoding steps as one shared denoising trajectory, enabling 2 to 8 step generation and faster captioning.