What is Open Generative AI used for?

Open Generative AI is a self-hostable studio front end for generating AI images and videos with many third-party models, advertised as having no content filters. It is a good fit for experimenting with several generative models in one UI, building a branded AI image and video studio, and prompt-based creative prototyping.

Is Open Generative AI open source?

Yes. Open Generative AI is open source under the MIT licence. Its source code is on GitHub at Anil-matcha/Open-Generative-AI and is written mainly in JavaScript.

Is Open Generative AI free?

Yes. Open Generative AI is open source, so the software itself is free to use.

Can I self-host Open Generative AI?

Yes. Open Generative AI can be self-hosted on your own server or infrastructure.

What is Open Generative AI an alternative to?

Open Generative AI is an open-source alternative to Midjourney, Leonardo.Ai, Runway and Sora. Other open-source alternatives to Midjourney include ComfyUI, SD.Next and InvokeAI.

Is Open Generative AI actively maintained?

Yes. The most recent commit to Open Generative AI was on 1 October 2026, and the latest release is v2.0.0, published on 23 May 2026. The project has 30k stars on GitHub.

Open Generative AI: open-source alternative to Midjourney

About Open Generative AI

Open Generative AI is a JavaScript application that presents itself as a free, open-source alternative to commercial AI image and video platforms. It bundles a set of generation studios for creating images and video from prompts, and the README advertises access to several hundred models, including well-known image and video model families.

The project promotes itself as unrestricted, with no content filters, no closed ecosystem and no subscription fees for the app itself. The generation is performed through a third-party model API service called MuAPI, which the README also promotes through a white-label offering for people who want to launch their own branded studio. Because the app has no built-in filters, operators who run it are responsible for how it is used and for complying with applicable laws and provider terms.

The code is MIT licensed, and topics tag it as an alternative to Midjourney and Sora-style tools. Community help is available through Discord. Anyone considering it should review what data is sent to external services and what usage costs the underlying API will bill.

Key features

Image and video generation studios
Hundreds of supported models via an API service
Text-to-video and image-to-video tools
Self-hostable web application
White-label option through MuAPI
Discord community support

Good fit for

→Experimenting with several generative models in one UI
→Building a branded AI image and video studio
→Prompt-based creative prototyping

Built with: JavaScript
Tags: generative-ai; image-generation; video-generation; text-to-video; ai-art; javascript; self-hosted; creative-tools

Open Generative AI: questions and answers

What is Open Generative AI used for?: Open Generative AI is a self-hostable studio front end for generating AI images and videos with many third-party models, advertised as having no content filters. It is a good fit for experimenting with several generative models in one UI, building a branded AI image and video studio, and prompt-based creative prototyping.
Is Open Generative AI open source?: Yes. Open Generative AI is open source under the MIT licence. Its source code is on GitHub at Anil-matcha/Open-Generative-AI and is written mainly in JavaScript.
Is Open Generative AI free?: Yes. Open Generative AI is open source, so the software itself is free to use.
Can I self-host Open Generative AI?: Yes. Open Generative AI can be self-hosted on your own server or infrastructure.
What is Open Generative AI an alternative to?: Open Generative AI is an open-source alternative to Midjourney, Leonardo.Ai, Runway and Sora. Other open-source alternatives to Midjourney include ComfyUI, SD.Next and InvokeAI.
Is Open Generative AI actively maintained?: Yes. The most recent commit to Open Generative AI was on 1 October 2026, and the latest release is v2.0.0, published on 23 May 2026. The project has 30k stars on GitHub.