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Open-Generative-AI

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Free open-source AI image & video studio supporting 200+ models (Flux, Midjourney, Kling, Sora, Veo). No content filters, self-hosted, MIT licensed.

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Download Download Version

v2.0.0 · 173.8 MB

Free open-source AI image & video studio with 200+ models, no filters, and self-hosted privacy.

Core Features

  • 200+ models including Flux, Midjourney, Kling, Sora, Veo, and more
  • No content filters or prompt rejections — full creative freedom
  • Desktop app and hosted web version; fully self-hostable
  • Modules: text-to-image, text-to-video, image-to-video, lip sync, cinema workflows
  • Multi-image input (up to 14 reference images) and custom model support

What It Can't Do

  • macOS Gatekeeper blocks the app on first launch — run 'xattr -cr' or manually allow in Security & Privacy. 2. Windows SmartScreen may show a warning — click 'More info' then 'Run anyway'. 3. Ubuntu 24.04+ users may need to disable AppArmor user namespace restriction for AppImage; use the .deb package if possible.

Use Cases

  • Unrestricted AI art and video creation for advertising, design, and prototyping
  • Privacy-sensitive projects that require on-premises or self-hosted infrastructure

Detailed Introduction

Open-Generative-AI is a free, open-source alternative to commercial AI video platforms like Runway ML and Pika Labs. Unlike those services, it imposes no content filters or prompt rejections, supports over 200 state-of-the-art models (Flux, Midjourney, Kling, Sora, Veo, etc.), and can be fully self-hosted for complete data privacy. It includes studios for text-to-image, text-to-video, image-to-video, lip sync, and cinema workflows, all from a modern interface. The desktop app runs locally with optional GPU acceleration, and a hosted version is available for instant use without installation.

Tags

aiimage-generationvideo-generationopen-sourceself-hostedmit-licensefluxmidjourneyklingsoraveolip-syncmuapi

Getting Started

1

Download installer

Click the button above to download the installer for your system

2

Install the software

Install the appropriate package for your distro (dpkg / rpm / AppImage)

3

Download the installer for your OS from GitHub Releases (DMG/EXE/AppImage)

4

Double-click and follow the installation wizard (macOS users need to bypass Gatekeeper via Terminal)

5

Launch the app, sign in or register a MuAPI account (or use local models), and start generating

Install Guide
  1. Download the installer for your OS from GitHub Releases (DMG/EXE/AppImage)
  2. Double-click and follow the installation wizard (macOS users need to bypass Gatekeeper via Terminal)
  3. Launch the app, sign in or register a MuAPI account (or use local models), and start generating
File Integrity

SHA-256 checksum verified

Checksum extracted from GitHub official Release page

SHA256 Checksum

b6484b94667dfa70b1e96ad163f39890ae60b22955f2b82c909872ca27371fbf

This checksum is extracted from the GitHub Release page. Verify file integrity after download.

All SHA-256 checksums on this platform are extracted from the project's official GitHub Release page, without any modification. You can independently verify them on the GitHub Releases page.

Open Source Transparency

View GitHub Source
Environment Guide

Uninstall Info

macOS: Drag the app to Trash. Windows: Uninstall via Control Panel > Programs and Features. Linux: Delete installation folder or use package manager.

No Extra Dependencies

Ready to use after download. No additional runtime required.

Project Info
LicenseMIT
Last Updated2026-06-28T06:29:32Z
GitHub RepositoryOfficial Website

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