Studio is self-hosted execution infrastructure for your AI pipelines. Orchestrate LLMs, GPU compute, video rendering, and delivery — on hardware you control. Unlimited runs. No per-operation fees. No platform lock-in.
Cloud workflow tools chain HTTP calls and charge you per operation. AI frameworks orchestrate models and agents. Self-host Studio is the execution layer underneath — where your jobs run, your compute routes, your files persist, and your tenants stay isolated.
You give it a prompt. An LLM writes the script. A GPU model generates your scenes. A TTS engine narrates. A video compositor renders the final output. Every step is logged. Every file is stored. Your entire execution is traceable.
This is a real production pipeline running in Studio — not a demo. It crosses LLM, GPU image generation, text-to-speech, video compositing, and delivery. That's orchestration + compute + persistence in a single tracked execution you own end to end.
You build a pipeline once as a template — a reusable blueprint. Install it into any organization, bind your own credentials, adjust parameters, and it becomes a workflow. Every run creates an instance — a frozen execution with per-step tracking and output records.
Browse and install pre-built prompt templates — story generators, scene designers, content summarizers, tone rewriters, and more. Each template is categorized, versioned, and ready to drop into your workflows. Build your own and share them across your organizations.
Studio isn't competing on node count. It's the execution substrate that runs your AI-heavy, compute-heavy, multi-tenant workloads.
Your jobs dispatch by capability label, not hardcoded type. General workers handle your HTTP calls. GPU workers run ComfyUI. Video workers run FFmpeg. Audio workers run TTS. When you need a new modality, you add a label — not an architectural rewrite.
Every organization you create is fully isolated — credentials, workflows, files, billing, and usage limits. Scale from one org to a thousand. White-label branding means your clients see your platform, not ours.
Providers extend Studio without touching core code. Each is a self-contained JSON package — manifest, auth config, and service definitions. The platform renders your configuration UI, routes your jobs, and processes results directly from the schema.
You get full step-by-step execution tracking — per-step status, file outputs, input data inspection, rerun controls, and timing. You see everything: which worker ran, what was sent, what came back, and how long it took.
Your clients see a clean progress screen — steps completing with checkmarks, generated images appearing in real time, and a progress bar at the bottom. They click "Run" and watch their results come in. No training required.
Studio scales with you — from a single creator to a multi-tenant SaaS platform.
You've outgrown scripts and copy-paste workflows
Deterministic, repeatable execution. Your API keys, your GPU, your production system.
Per-operation pricing is compressing your margins
Deliver real infrastructure your clients own. Your IP compounds on top of their deployment.
You're facing 6–12 months building a backend from scratch
Multi-tenancy, billing, credential isolation, and audit logging — already built for you.
Studio isn't competing with cloud automation tools — it's where you move when those tools become your bottleneck.
They chain HTTP calls, charge you per operation, and have no GPU compute
Studio gives you the compute layer they don't have, at zero marginal cost per run.
They orchestrate models and agents — but give you no visual builder or multi-tenancy
Studio is your execution platform, not another model wrapper.
FastAPI, Redis, job queue, GPU scheduling, billing — that's 6–12 months of your time
That backend is already built for you. 200K+ lines of tested source code.
You're generating content on someone else's infra under someone else's terms
Run the same generation on your own GPU. No per-image fee, no content policy surprises.
Single Docker container, Docker Compose, Kubernetes, RunPod, VPS + Cloudflare Tunnel, or hybrid GPU setups. Your execution model stays the same.
Start with a single container on your laptop. Scale to separate API, UI, and worker containers when you're ready. Add remote GPU workers on RunPod without changing your workflows.
You can't redistribute Studio as a competing platform - but you can build your business on it, sell your consulting, your templates, and your workflow configurations, and commercialize any output your pipelines produce.
As your business grows, Studio grows with you - new providers, templates, and prompt libraries ship through the marketplace, and platform updates bring performance improvements and the latest AI advancements.
The engine is free. The ecosystem is where your value compounds.
Join the Self-Host Hub community for everything you need to deploy:
One membership. Unlimited runs. Don't rent your AI infrastructure — own it.
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