Open-Generative-AI: an unrestricted open-source alternative to AI video platforms with local inference and multi-model support

What it solves

Open Generative AI is an open-source, unrestricted alternative to proprietary AI video and image platforms. It provides a unified interface to access over 200 state-of-the-art generative models without content filters, subscription fees, or vendor lock-in, allowing for full creative freedom.

How it works

The project provides a desktop application (for macOS, Windows, and Linux) and a hosted web version. It primarily integrates with MuAPI to access a vast array of cloud-based models, but the desktop app also supports local inference via two engines:

• sd.cpp: A bundled C++ engine for running image models like SD 1.5, SDXL, and Z-Image locally on Metal GPU (Apple Silicon), CUDA, Vulkan, or ROCm.
• Wan2GP: A remote Gradio server client that allows users to offload heavy video and image models (like Flux and Wan 2.2) to a separate GPU-powered machine.

Who it’s for

It is designed for digital artists, filmmakers, and AI creators who want an unrestricted environment to generate images, videos, and lip-synced content using a wide variety of models and professional camera controls.

Highlights

• Multi-Studio Interface: Dedicated studios for Image, Video, Lip Sync, Cinema (with pro camera controls), and Workflows.
• Unrestricted Generation: No content filters or prompt rejections.
• Massive Model Support: Access to 200+ models including Flux, Midjourney, Kling, Sora, and Veo.
• Local Inference: Ability to run specific models locally to maintain data privacy and avoid API costs.
• Advanced Image Control: Support for up to 14 reference images for compatible image-to-image models.
• Visual Workflow Builder: A node-based editor to chain image, video, and audio models into automated pipelines.