Accurate Binarization of Diffusion Models for Efficient Deployment

This paper proposes BinaryDM, a novel quantization-aware training approach to push the weights of diffusion models towards the limit of 1-bit, achieving significant accuracy and efficiency gains compared to SOTA quantization methods under ultra-low bit-widths.