Open-source desktop app for local voice cloning, voice design, video dubbing, dictation, transcription, and audiobook creation across 646 languages.
Desktop IDE for interactive AI image and video creation, combining 2D compositing, 3D scene staging, and model selection.
Node-graph GUI and Python backend for running diffusion models to generate images, video, 3D, and audio locally.
Generates short videos from a topic or keyword by automating script writing, stock footage matching, subtitles, background music, and video synthesis with AI models.
An agentic video production system that runs inside AI coding assistants, handling research, scripting, asset generation, editing, and rendering.
Desktop app and CLI that restores mosaics in videos and images using GPU models like BasicVSR++ and LTX.
Open-source web studio for generating AI images and videos through 600+ hosted models from one interface.
SGLang is an open-source inference framework for serving large language, vision-language, and diffusion models.
Open-source text-to-speech library with a 1.7B 1-bit speech model and lightweight ONNX models that run on CPU.
Open-source vector design tool with an AI prompt-to-canvas workflow, concurrent agent teams, an MCP server, and JSON-based .op design files.
Gradio web app for speech recognition, translation, voice cloning, TTS, and dubbing, including YouTube audio extraction and vocal isolation.
An open-source desktop photo manager for macOS, Windows, and Linux that works directly on existing local folders.
Swift SDK running open-source speech models (ASR, TTS, VAD, speaker diarization) locally on Apple devices via CoreML and the Neural Engine.
Inference code, checkpoints, and notebooks for Meta's Segment Anything Model (SAM), which produces object masks from points, boxes, or automatically for whole images.
Research code for GVHMR, a method that recovers world-grounded 3D human motion from video using gravity-view coordinates.
A minimal Tauri desktop app for AI-driven creation of images, video, audio, 3D meshes, and worlds.
PyTorch library for audio generation research, providing inference and training code for MusicGen, AudioGen, and EnCodec.
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.
Audio plugin that transcribes audio to MIDI using deep learning, running locally inside DAWs as VST3, AU, or standalone.
Meta's Segment Anything Model 2 for promptable segmentation in images and videos, with inference code, checkpoints, and example notebooks.
A neural network from OpenAI that scores how well text snippets match images, trained on image-text pairs for zero-shot prediction.
Android/iOS/macOS app for trying open LLMs and on-device ML/GenAI features like chat, image Q&A, and audio transcription offline.
A curated collection of prompts, video-generation techniques, and API guides for ByteDance's Seedance 2.0 AI video model.
Sample notebooks, code, and apps demonstrating how to build with generative AI models on Google Cloud.
Adobe's collection of skills for AI coding agents, distributed as plugins for Claude Code, Copilot, Cursor and others.