Less is Enough: Training-Free Video Diffusion Acceleration via Runtime-Adaptive Caching

Wan: Open and Advanced Large-Scale Video Generative Models

Superscale is a plug-and-play super-resolution toolkit. Run the latest 6 SOTA models with a single line of Python or via a zero-setup GUI.

Simple LLM package for ios devices.

[ICCV 2025] Official implementations for paper: VACE: All-in-One Video Creation and Editing

Flutter plugin for Ultralytics YOLO

Ultralytics YOLO iOS App source code for running YOLO in your own iOS apps 🌟

HunyuanVideo: A Systematic Framework For Large Video Generation Model

Ultralytics YOLO iOS App source code for running YOLOv8 in your own iOS apps 🌟

simple usage of yolov8 on android device

All my self trained & released AI upscaling models. After gathering and applying over 600 different upscaling models, I learned how to train my own models, and these are the results.

[CVPR2024] SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution

pretrained tflite models.

A sample android application of live object detection for any YOLOv8 detection model

Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE)

Converted CoreML Model Zoo.

[ICLR 2025] HD-Painter: High-Resolution and Prompt-Faithful Text-Guided Image Inpainting with Diffusion Models

A collection of samples for using various AI models on iOS.

easyportrait run on swift sample

iPhone/iPad version of lama cleaner

LaMa for Core ML

Implementation of 3D computer vision

GLPanoDepth: Global-to-Local Panoramic Depth Estimation

PyTorch codes for "Real-World Blind Super-Resolution via Feature Matching with Implicit High-Resolution Priors", ACM MM2022 (Oral)

This iOS app detects aruco markers in a live view. v4.4

Fast Segment Anything