BlazeEdit: Generalist Image Editing on Mobile Devices with Image-to-Image Diffusion Models

ArXi:2605.28067v1 Announce Type: new The remarkable generation quality of modern diffusion models often comes at the cost of massive parameter counts, which necessitate server-side inference with significant computational costs and potential privacy risks. Consequently, there is growing momentum toward developing efficient on-device alternatives. While recent efforts have optimized text-to-image models for mobile hardware, they remain relatively bulky, typically ranging from 0.5B to 1B parameters.