Popular GitHub Repositories for Diffusion Detection

Stable Diffusion web UI

ComfyUI docker images for use in GPU cloud and local environments. Includes AI-Dock base for authentication and improved user experience.

YOLOv5 ? in PyTorch > ONNX > CoreML > TFLite

:robot: The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop-in replacement for OpenAI, running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. Features: Generate Text, Audio, Video, Images, Voice Cloning, Distributed, P2P inference

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

OpenMMLab Detection Toolbox and Benchmark

? Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.

State-of-the-art 2D and 3D Face Analysis Project

Invoke is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, and serves as the foundation for multiple commercial products.

deep learning for image processing including classification and object-detection etc.

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.

CVPR 2025 论文和开源项目合集

JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

stable diffusion webui colab

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

Face recognition using Tensorflow

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.