An open-source project for Windows developers to learn how to add AI with local models and APIs to Windows apps.
Qualcomm® AI Hub Models is our collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.
Dataflow compiler for QNN inference on FPGAs
Official Ultralytics YOLO Flutter plugin for real-time inference on Android and iOS across major vision tasks.
FaceFusion for Android. Offline face swap running on the phone's NPU, GPU or CPU. Qualcomm Hexagon (v68 to v81), Vulkan fallback, no server and no upload.
On-device ComfyUI style node graph for image/video diffusion models on Android. Local SD1.5, SDXL, Flux, Z-image, Anima, Qwen Image 2.1, Krea 2, MOSS Image, Ideogram 4, inpainting, outpainting, controlnet, LoRA, IPAdapter, auto-segment and WAN 2.2 5B video on the Qualcomm Hexagon NPU. Fully offline, no server, no account.
Port Apple's SHARP (single-image 3D Gaussian Splatting) to on-device Android via Qualcomm QNN HTP — fully offline inference on Snapdragon