A hybrid two-stage diffusion transformer architecture enables efficient and accurate instruction-guided audio editing. It uses coarse-to-fine semantic alignment via joint attention at low resolution, followed by refined editing with alternating joint and cross-attention at high resolution. The method achieves better performance on complex editing tasks with improved efficiency and a compact model.