With　the　advancement　of　multimedia　editing　technology　and　image　processing　technology,　using　smartphones　to　complete　complex　image　changes　has　become　possible,　posing　a　threat　to　personal　information　security　and　the　authenticity　of　information　dissemination.　To　address　this　challenge,　Image　Manipulation　Localization　(IML)　technology　combined　with　image　comparison,　spatial　domain　analysis,　and　restoration　techniques　can　effectively　detect　image　changes　and　edits.　In　recent　years,　Visual　Transformer　(VIT)　models　have　become　a　new　choice　for　capturing　images,　but　Convolutional　Neural　Networks　(CNN)　still　have　shortcomings.　To　make　up　for　this　deficiency,　I　found　the　IML-VIT　model.　This　model　has　the　ability　of　multi-scale　feature　extraction　and　high　resolution,　and　supports　convergence　of　a　small　amount　of　data.　In　research　and　testing,　the　IML-VIT　model　has　shown　high　accuracy　and　completeness,　making　it　the　best　choice.　©　2024　IEEE.