Our take
Quietno commits in the last 90 days and no release in a year- Activity
- 20
- Community
- 21
- Issues
- 21
- Pull requests
- 21
+157 stars in the last 29 days
This is currently a locally runnable studio UI to evaluate, rather than a dependable image-generation service, and its quiet maintenance and highly concentrated contributions add adoption risk.
Good fit if
- You want to review or safely test the JavaScript UI locally with Node.js.
- You are comfortable investigating a project with no recent commits or releases and most contributions coming from one person.
- You can verify the advertised model integrations and supply provider credits if generation becomes available.
Look elsewhere if
- You need image generation to work now, since the README says it is paused pending provider credits.
- You need evidence of active maintenance or recent releases before adopting a tool.
- You need a clearly declared repository license, since GitHub's license metadata is empty despite the description's MIT claim.
All health signals
| Last commit | 2026-04-19 (6 months ago) |
|---|---|
| Commits, last 90 days | 0 |
| Releases, last 12 months | 0 |
| Contributors | 4 (top contributor: 93% of commits) |
| Issues closed, last 90 days | 0 |
| Project age | 6 months |
Checked on 2026-10-06 with the GitHub API.
Project history
Daily GitHub snapshots since Oct 7, 2026. History covers stars and forks; health signals are not tracked historically.
Stars
344Forks
88Change since Nov 8, 2026: +7 stars·+1 forks
Overview
Open-Higgsfield-AI presents itself as a customizable, self-hosted alternative to Higgsfield AI for image generation and cinema-style creative workflows. Its description advertises access to more than 20 models, including Flux, SDXL, Midjourney, and Ideogram.
The README gives a more limited picture of its current use: this is an internal Clabstream tool for running and reviewing the studio UI locally, and image generation is paused until provider credits are added. That makes it more useful today for evaluating the interface than for producing images.
Key Features
- JavaScript web app that runs locally with npm.
- Studio interface intended for image-generation workflows.
- Positioned as a self-hosted and customizable alternative to Higgsfield AI.
- Project description advertises more than 20 models, including Flux, SDXL, Midjourney, and Ideogram.
- UI remains available for internal review and safe testing while generation is paused.
- README advises keeping provider credentials server-side and out of prompts and source code.
Use Cases
- Clabstream team members can review the studio interface locally without relying on a hosted UI.
- Developers can safely test the app UI while image generation is unavailable.
- Teams exploring self-hosted image-generation interfaces can inspect the project before deciding whether it fits their workflow.
- A team with provider credits and credentials can assess whether the advertised model range suits its image or cinema-style work, after confirming generation is operational.
What you need
Detected in the repository
- Node.js (from package.json)
- Automated checks on GitHub Actions
Getting Started
npm install
npm run dev
Then open http://localhost:3000. See the repository README for details.
License in Plain Words
No standard license was detected. Without a license, the default copyright rules apply: you may read the code, but not reuse it. Check the repository or ask the authors.
Considerations
The project is quiet: there have been no commits in the last 90 days and no release in the last year. Four contributors are recorded, but most of the code comes from one person; no issues were closed recently. These signals make ongoing maintenance less certain.
Image generation is explicitly paused until provider credits are added, and the README does not describe a working generation setup. The project requires Node.js; no Docker setup or tests are reported. The description claims an MIT license, but the GitHub license field is empty, so confirm the license terms in the repository before adoption. The README also warns against committing .env.local or exposing provider credentials in prompts or source code.
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