Radar
New projects people are discovering or following across Pinokio.
Fully offline pipeline to auto-generate videos with AI — includes script generation, TTS voiceover, image generation, subtitles, and final video assembly with background music. Perfect for Shorts & storytelling, no internet needed.
Newest, latest and most advanced model that is able to control computers and even more. We're improving that model day by day, so follow up to know and see new models.
AI-powered tool that automatically sorts thousands of gymnastics competition photos into folders by team and individual gymnast. Uses YOLOv8, CLIP, InsightFace, ReID and FAISS – fully offline, CUDA-accelerated.
Digital Human Resource: 2D/3D/4D Human Modeling, Avatar Generation & Animation, Clothed People Digitalization, Virtual Try-On, etc.
[Mac Only] We make AI agents that control Mac apps: https://github.com/browser-use/macOS-use
ComfyUI-Manager is an extension designed to enhance the usability of ComfyUI. It offers management functions to install, remove, disable, and enable various custom nodes of ComfyUI. Furthermore, this extension provides a hub feature and convenience functions to access a wide range of information within ComfyUI.
🎵 The Ultimate Open Source Suno Alternative - Professional UI for ACE-Step 1.5 AI Music Generation. Free, local, unlimited. Stop paying for Suno!
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
This is a local version of real-avatar that enables the creation of avatar's locally on my personal computer
Bulk transcribe many YouTube videos, whole playlists, or your own uploaded audio/video files at once with faster-whisper. Outputs txt, srt, vtt, or json.
Image Dataset Tagger for Stable Diffusion / Lora / DreamBooth Training: https://github.com/mikeknapp/candy-machine
Cross-vendor 3D Gaussian Splatting trainer - video to splat to mesh, Vulkan or CUDA.
moondream1 is a tiny (1.6B parameter) vision language model trained by @vikhyatk that performs on par with models twice its size. It is trained on the LLaVa training dataset, and initialized with SigLIP as the vision tower and Phi-1.5 as the text encoder. https://huggingface.co/spaces/vikhyatk/moondream1
