MIT's Style2Fab lets you restyle 3D prints with text
MIT researchers just developed Style2Fab, a generative AI tool that lets makers customize 3D-printable models using simple text prompts without breaking their original functionality. The system uses machine learning to automatically separate aesthetic surfaces from functional parts, keeping key mechanics intact while generating new shapes and textures. Why it matters: It lowers the steep CAD learning barrier, allowing anyone to easily personalize everyday prints or assistive medical devices.