Community Roadmap for Studio v2
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.
📋 ROADMAP (Weekly)
Directional focus areas, not delivery guarantees.
  • 2/9/26 Faceless video workflow end-to-end: script generation → image generation → audio → video assembly, TTS provider integration (ElevenLabs, OpenAI TTS)
  • 2/16/26 Debug mode: inline step editing, input/output inspection, continue/skip/stop
  • 2/23/26 Alpha release
📅 UPDATES
  • 2/8/26 JSON string extraction fix completed. Faceless video pipeline in progress. Deployment testing underway.
  • 1/22/26 Direction locked: deterministic workflows, structured AI, production-safe execution.
  • 1/10/26 Community focus narrowed to real deployments and operational tradeoffs.
(Updates appended as work progresses.)
WHAT IS STUDIO
Self-hosted workflow automation platform for AI content pipelines. You own the infrastructure, pick your providers, keep your keys. Custom workflow engine — no n8n, no Temporal, no off-the-shelf runtime. Full control over execution, debugging, and step-level data flow.
Four pieces:
  • App (API + web UI)
  • Workers (general, video/FFmpeg, ComfyUI/GPU)
  • Catalog (installable provider/service packages)
  • Marketplace (templates + premium token-gated packages)
Deploy however you want: single Docker container, Docker Compose, Kubernetes, RunPod, VPS + Cloudflare Tunnel, or hybrid GPU setups over Tailscale.
✅ DONE
  • Custom workflow engine with step-by-step execution, pause/resume, approval gates
  • Multi-tenant org system with role-based access
  • Provider/service architecture — install only what you need
  • 10+ provider integrations (Claude, OpenAI, Gemini, Google, Slack, Notion, Airtable, telegram, trallo, typeform, ComfyUI, JSON2Video, etc.)
  • ComfyUI GPU worker with model management
  • Video worker (FFmpeg transcoding, Whisper STT)
  • Real-time WebSocket updates during workflow runs
  • 7 Docker images covering every deployment scenario
  • Marketplace backend with token-gated access
  • Full documentation suite
  • 2/1/26 Deployment testing across all 7 Docker scenarios (single container, Compose, K8s, RunPod, VPS + Cloudflare Tunnel, hybrid GPU, all-in-one)
🛠️ TODO
  • Faceless video workflow — script → images → TTS → video → upload
  • Debug mode — inline editing, I/O inspection, execution controls
  • Social media posting (TikTok, Youtube, Instagram, etc.)
  • LLM license detection (flag models with commercial restrictions)
  • Form builder for workflow inputs (shareable public URLs)
  • AI-assisted workflow scaffolding (natural language → draft structure)
If you have any questions, let me know in the comments.
— Kawika
2
1 comment
Kawika Ohumukini
5
Community Roadmap for Studio v2
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