Skip to content

Skin changer for League of Legends (LOL)

License

Notifications You must be signed in to change notification settings

DemoorBug/R3nzSkin

 
 

Repository files navigation

C++ LOL Windows x64 License Issues Windows

R3nzSkin

Announcement

I am currently continuing my military service, and as the place where I am serving is a border region, updates may be delayed or may not arrive.

R3nzSkin is an internal skin changer for League of Legends.

13.19 - Change the skin of your champion, your ward, other champions, towers, minions, and jungle monsters in the game. - Automatic skin database update. - Support for spectator mode. - Change skins anytime and unlimited times in a single game. - Supports all popular languages ​​in the world. - In-game configuration with ImGui. - JSON based configuration saving & loading

Building

  1. Clone the source with git clone --recursive https://github.com/R3nzTheCodeGOD/R3nzSkin.git
  2. Build in Visual Studio 2019/2022 with configuration "Your Region - x64"

Usage

  1. Compile source or download a compiled version.
  2. Use R3nzSkin_Injector.exe or inject the built DLL into the game yourself.
    • Administrator privilege may be needed if the injector failed to inject the DLL.
    • League client can crash if R3nzSkin is injected before being in the game.
      • A workaround is to not inject until you are in the game (you will need to be fast to not disrupt the game).
  3. Press Insert to bring up the menu.
  4. Select the skin for you, your teammates, enemies, and wards.

Further optimizations

If your CPU supports AVX / AVX2 / AVX-512 instruction set, you can enable it in project settings. This should result in more performant code, optimized for your CPU. Currently SSE2 instructions are selected in project settings.

Credits

This program is an improved and updated version of the B3akers/LeagueSkinChanger project.

About

Skin changer for League of Legends (LOL)

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • C++ 79.7%
  • Assembly 20.3%