Node-graph GUI and Python backend for running diffusion models to generate images, video, 3D, and audio locally.
Native macOS and Apple Silicon inference server exposing OpenAI, Anthropic and Ollama APIs, with a Swift app, written in Zig.
Inference code, checkpoints, and notebooks for Meta's Segment Anything Model (SAM), which produces object masks from points, boxes, or automatically for whole images.
Reference code for Stable Diffusion, a latent text-to-image diffusion model that generates images from text prompts.
C/C++ inference engine for diffusion image and video models such as SD, Flux, Wan, and Qwen-Image, built on ggml.