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

If you have been meaning to run Studio and stalled at setup, start here. Apple Silicon, start to finish: the app, the workers, and everything connected. https://www.youtube.com/watch?v=qMoZuu6nz44 What you have by the end: - Studio running locally, API and web UI - Native workers with pip install studio-workers, no Docker needed on Mac - GPU work running on Apple Silicon - A worker registered and picking up jobs This is the foundation video. 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

Studio is live. Here's what it does in 40 seconds. I've been building and running this for a while and some of you have seen pieces along the way. I want to say thank you for supporting this effort. WHAT YOU'RE WATCHING One form. Paste a news article URL or full text, pick a few settings, hit Start. Studio orchestrates the entire pipeline: story generation, scene breakdown, image creation with Leonardo, narration with OpenAI TTS, video rendering with JSON2Video, and publishing straight to YouTube. No code, no templates, no duct-taped stack of Make / n8n + Airtable. The video builds in under 2 minutes. The old way took 8-15 minutes across three different platforms. WHAT STUDIO IS Self-hosted, open source workflow orchestration. You install workflows from a free marketplace in seconds. Workers can run anywhere, your local machine, cloud GPUs, RunPod, Vast, whatever you have. This is not another AI wrapper. This is infrastructure. Runnable, deliverable and extendable. All open-source. WHAT'S NEXT Full walkthrough video is coming that breaks down every step. Cheers

Studio's AI generation, images, video, audio, runs best with a GPU behind it. You've got three ways to get one: own a card in a desktop/gaming PC, use a capable laptop like an M4 MacBook Pro, or rent GPU time at rock bottom prices from a provider. If you're renting, this stream is for you. It tracks live prices across the best providers 24/7, RunPod, Vast.ai, Clore, SimplePod, showing the cheapest available price per GPU model and per VRAM class, plus live availability. With VRAM prices where they are right now, the real bottleneck is not finding a GPU. It is finding enough VRAM at a price that makes sense. These are rental prices, cost per hour to rent, not retail buy prices. Recommendations are tuned specifically for Studio users, which cards and providers actually fit the image, video, and audio workloads you're running. These are good starting points. Your workload will vary depending on whether you're a solo user, AI automation agency or running a multi-tenant SaaS service. Models: RTX PRO 4500, RTX 6000 Ada, RTX 4090, L40S Bring-your-own-compute is the whole point: Studio runs your pipelines on whatever GPU you rent or own, wherever it lives. This index is how you rent smart instead of guessing. Check it before you spin anything up. Tell me which cards or providers you want tracked next. Cheers

Hi all. If you're here, you're interested in self-hosting your AI automations. You've felt the pain of the cost, the restrictions or not being able to deliver a finished product to your clients and grow your offering without running into roadblocks or running out of ideas or just frustrated by the non-deterministic nature of tools like Claude or Openclaw running on their own. Studio is here to change all that. Studio v0.9 Some of you used the original version of what's now Studio. That version did one thing, faceless video, and it was heavy. It worked, but it was rigid and hard to extend beyond that single use case. Reboot This community is a reboot. If you're wondering where all the old posts went, that's why. Clean slate, fresh start, better direction. Studio v1.0.0 Studio is a complete rewrite. It's a general-purpose workflow engine that replaces the patchwork of tools most people are juggling, things like Airtable, Make, n8n, Zapier to name a few. It connects to AI generation services like Leonardo, JSON2Video, OpenAI, and Claude, but it also has its own workers, coming in the next few days, that replace or leverage those services entirely, running on your own hardware. Video is still there, but it's one of many things Studio can do now. It's still early. The platform is functional and in active development, but features like billing and plans aren't live yet. I'd rather be upfront about where things are than oversell what's coming. Here's what Self-Host Hub is about: Helping you own your AI infrastructure. Your data, your servers, your rules. No per-run platform fees. No vendor lock-in. Swap providers without rewriting everything. It's Live! Studio is public on GitHub right now. Videos are on the way with walkthroughs, builds, and real workflow demos so you can see what it does before you touch a single config file. Installation is simple. Download studio-console, register a domain name if you want public access, answer a few questions and you're up and running.