Accelerated Diffusion Models via Speculative Sampling
Accelerated Diffusion Models via Speculative Sampling
Speculative sampling is a popular technique for accelerating inference in Large Language Models by generating candidate tokens using a fast draft model and accepting or rejecting them based on the target model's distribution. While speculative sampling was previously limited to discrete sequences, we extend it to diffusion models, which generate …