You do NOT need to compile anything if you just want to use the aimbot!
Precompiled .exe builds are provided for both CUDA (NVIDIA only) and DirectML (all GPUs).
- Download
- Pre-built binaries can be downloaded from the Discord server in the pre-releases channel.
-
Works on:
- Any modern GPU (NVIDIA, AMD, Intel, including integrated graphics)
- Windows 10/11 (x64)
- No need for CUDA or special drivers
-
Recommended for:
- GTX 10xx/9xx/7xx series (old NVIDIA)
- Any AMD Radeon or Intel Iris/Xe GPU
- Laptops and office PCs with integrated graphics
-
Works on:
- NVIDIA GPUs GTX 1660, RTX 2000/3000/4000/5000
- Requires: CUDA 13.1, TensorRT-10.14.1.48
- Windows 10/11 (x64)
-
Not supported: GTX 10xx/Pascal and older (TensorRT limitation)
-
Includes both CUDA+TensorRT and DML support (switchable in settings)
Both versions are ready-to-use: just download, unpack, run ai.exe.
- Download and unpack your chosen version (see links above).
- For CUDA build, install CUDA 13.1 if not already installed.
- For DML build, no extra software is needed.
- Run
ai.exe. On first launch, the model will be exported (may take up to 5 minutes). - Place your
.onnxmodel in themodelsfolder and select it in the overlay (HOME key). - All settings are available in the overlay. Use the HOME key to open/close overlay.
- Right Mouse Button: Aim at the detected target
- F2: Exit
- F3: Pause aiming
- F4: Reload config
- Home: Open/close overlay and settings
Detailed build instructions:
- C++ config reference (
config.ini): docs/config.md - Setup, FAQ, troubleshooting: docs/guides.md
- Source of truth in code: sunone_aimbot_cpp/config/config.cpp, sunone_aimbot_cpp/config/config.h
- TensorRT Documentation
- OpenCV Documentation
- ImGui
- CppWinRT
- GLFW
- WindMouse
- KMBOX
- MAKCU
- depth-anything-tensorrt
- License: Apache License 2.0
- License: MIT License
This project is actively developed thanks to the people who support it on Boosty and Patreon.
By supporting the project, you get access to improved and better-trained AI models!
Need help or want to contribute? Join our Discord server or open an issue on GitHub!