Open-Generative-AI
A free, self-hosted AI image and video generation studio with 500+ models and no content filters, giving you the same generation power as paid platforms like Midjourney or Runway without a subscription or a company deciding what you're allowed to prompt.
🔗 Visit Open-Generative-AI
Description
Most AI image and video generators — Midjourney, Runway, Sora — are subscription services running on someone else's servers, with their own rules about what you can and can't generate. Open-Generative-AI flips that: it's a free program you install and run yourself, bundling access to over 500 different image and video generation models in one interface, with no monthly fee and no company reviewing your prompts.
Open-Generative-AI is a self-hosted, MIT-licensed studio unifying 70+ text-to-image models, 70+ image-to-image models, 85+ text-to-video models, and 120+ image-to-video models (spanning Flux, Midjourney-style, Kling, Sora-style, and Veo-style architectures) behind one interface, plus a dedicated 15-model Lip Sync Studio and a drag-and-drop Workflow Builder for chaining generation steps into pipelines. It supports multi-image reference input (up to 14 images), local inference via a bundled stable-diffusion.cpp runtime plus optional remote inference (Wan2GP), browser-based generation history, and ships as desktop apps for macOS/Windows/Linux, a Node.js web version, or Docker Compose for server deployment. It hit GitHub Trending in April 2026 and has grown to over 27,000 stars and 4,700+ forks with frequent commits, making it one of the more actively maintained self-hosted generation studios.
💬 Our review
The short version: Open-Generative-AI is the most direct free, self-hosted alternative to paid subscription platforms like Midjourney, Runway, Kling AI, or Pika — same broad model coverage, zero recurring cost, and you control where your prompts and outputs go.
The real technical achievement is the aggregation layer: rather than build one model, it wires together 500+ existing open models behind a single consistent interface, plus a workflow builder for turning single generations into repeatable pipelines — something most closed platforms charge extra for or don't offer at all. Local inference support means it can run entirely offline for anyone who wants a hosted platform's convenience without sending prompts to a third party.
The part that needs an honest flag: the project explicitly markets 'no content filters, no prompt rejections' as a selling point. That's a real advantage for legitimate creative use cases the mainstream platforms over-block, but it also means the responsibility for what gets generated shifts entirely to the person running it — there's no safety layer to catch misuse. For technically comfortable users who want maximum model choice and control, it's hard to beat on pure capability-per-dollar (zero); for anyone wanting guardrails handled for them, a moderated platform is the safer default.
💰 Pricing
📊 Global score
🤖 AI-enriched data
Entièrement gratuit et open-source (auto-hébergé) ; option reseller payante via MuAPI (49$/mois min.) facultative, sans lien avec l'usage personnel.
Pros
500+ modèles image/vidéo agrégés derrière une seule interface, gratuit et open-source
Workflow Builder pour chaîner les générations, inférence locale possible (hors-ligne)
27 000+ stars, développement très actif, déploiement desktop/web/Docker
Aucun filtre de contenu — contrôle total pour l'utilisateur
Cons
L'absence de filtre de contenu déplace toute la responsabilité de l'usage sur l'utilisateur
Setup self-hosted plus technique qu'un abonnement SaaS clé en main
Pas de support client dédié contrairement aux plateformes payantes