If you have been meaning to run Studio and stalled at setup, start here. Windows 11 with WSL2, start to finish: clean machine to the full platform running. https://www.youtube.com/watch?v=zJgbnvfbWQI What you have by the end: - Studio running under Ubuntu on WSL2, API and web UI on localhost - Docker Engine inside WSL, no Docker Desktop needed (though it works too if you already run it) - All seven workers online - The community catalog installed: providers, prompts, and workflows - If you have an NVIDIA card, the GPU wired through to Docker. No GPU? Skip that chapter, everything runs on CPU - A clean full stop and restart, so you know how to bring it back This is the foundation video for Windows. Every walkthrough after this one starts from a working install and links back here instead of repeating setup, so you install once and never sit through it again. Hit a step that did not go the way it went on screen? Drop it in the comments. Cheers

Welcome to Self-Host Hub. This is the free community built around Studio, a self-hosted AI workflow platform with no per-run fees, no subscription tax, and no limits. Browse the Start Here classroom first. It covers what Studio is, what you can build with it, and how to get running fast. Then, checkout Self-Host Studio - Getting Started it walks you through installing Studio. Then come back and answer the poll below. Your answers help me prioritize the content and guides that matter most to you. How will you run Studio?

Welcome to Self-Host Hub. This community is for people building automation infrastructure they own: self-hosted workflows, local AI, and systems you run for yourself or your clients. WHAT IS STUDIO Self-hosted workflow automation platform for AI content pipelines. You own the infrastructure, pick your providers, keep your keys. Four pieces: • App (API + web UI) • Workers (general, video, audio, ComfyUI/GPU), as Docker images or pip install studio-workers for native GPU, Apple Silicon included • Community Catalog (free providers and workflows) • Plus Catalog (advanced production workflows for members) Deploy however you want: single Docker container, Docker Compose, Kubernetes, GPU Host, or hybrid GPU setups. 📋 ROADMAP ✅ MVP: faceless video pipeline (OpenAI, Leonardo, JSON2Video) ✅ Self-hosted video rendering (replaces JSON2Video) ✅ Self-hosted image generation via ComfyUI (replaces Leonardo): Flux.1 Schnell and Flux 2 Klein, generation and image editing ✅ Self-hosted TTS voice cloning (Chatterbox, replaces OpenAI TTS): clone a voice from a ~10 second clip ✅ Bring your own ComfyUI workflows: upload a package, test it privately, publish it to your users 🔜 Self-hosted video generation via ComfyUI Every stage so far eliminated an API bill. The pipeline runs on your own hardware. 📅 UPDATES • 8/11/26 New walkthrough: the complete Studio install on Windows. App plus workers on Windows 11 running WSL, start to finish. Another foundational video every other walkthrough builds on. • 8/9/26 New walkthrough: the complete Studio install on a Mac. App plus native workers on Apple Silicon, start to finish. The foundation video every other walkthrough builds on. • 8/4/26 Studio 1.3.0: pick ComfyUI workflows from a dropdown (no more model field), upload your own ComfyUI packages, one worker serves multiple queues. • 7/31/26 Self-hosted image generation shipped: four ComfyUI packages (Flux.1 Schnell bf16/FP8/GGUF, Flux 2 Klein generate + edit). • 7/28/26 Native workers on PyPI: pip install studio-workers, GPU workers on Mac Apple Silicon without Docker.