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Uncensored, open-source alternative to Higgsfield AI, Freepik AI, Krea AI, Openart AI — Free, unrestricted AI image & video generation studio with 200+ models (Flux, Midjourney, Kling, Sora, Veo). No content filters. Self-hosted, MIT licensed. https://dev.muapi.ai/open-generative-ai

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CSS 1%

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README.md

Open Higgsfield AI

An open-source AI image generation studio powered by Muapi.ai. Generate stunning images using state-of-the-art models like Flux Schnell, Flux Dev, Nano Banana Pro, and more — all from a sleek, modern interface.

✨ Features

Multi-Model Support — Switch between 20+ AI image generation models (Flux, Nano Banana, Ideogram, Midjourney, SDXL, and more)
Smart Controls — Dynamic aspect ratio and resolution pickers that adapt to each model's capabilities
Generation History — Browse, revisit, and download all your past generations (persisted in browser storage)
Image Download — One-click download of generated images in full resolution
API Key Management — Secure API key storage in browser localStorage (never sent to any server except Muapi)
Responsive Design — Works seamlessly on desktop and mobile with dark glassmorphism UI

🚀 Quick Start

Prerequisites

Node.js (v18+)
A Muapi.ai API key

Setup

# Clone the repository
git clone https://github.com/Anil-matcha/Open-Higgsfield-AI.git
cd Open-Higgsfield-AI

# Install dependencies
npm install

# Start the development server
npm run dev

Open http://localhost:5173 in your browser. You'll be prompted to enter your Muapi API key on first use.

Production Build

npm run build
npm run preview

🏗️ Architecture

src/
├── components/
│   ├── ImageStudio.js    # Main studio with prompt, pickers, canvas, history
│   ├── Header.js         # App header with settings and controls
│   ├── AuthModal.js      # API key input modal
│   ├── SettingsModal.js   # Settings panel for API key management
│   └── Sidebar.js        # Navigation sidebar
├── lib/
│   ├── muapi.js          # API client (submit + poll pattern, x-api-key auth)
│   └── models.js         # Model definitions with endpoint mappings
├── styles/
│   ├── global.css        # Global styles and animations
│   ├── studio.css        # Studio-specific styles
│   └── variables.css     # CSS custom properties
├── main.js               # App entry point
└── style.css             # Tailwind imports

🔌 API Integration

The app communicates with Muapi.ai using a two-step pattern:

Submit — POST /api/v1/{model-endpoint} with prompt and parameters
Poll — GET /api/v1/predictions/{request_id}/result until status is completed

Authentication uses the x-api-key header. During development, a Vite proxy handles CORS by routing /api requests to https://api.muapi.ai.

🎨 Supported Models

Model	Endpoint	Resolution Options
Nano Banana	`nano-banana`	—
Nano Banana Pro	`nano-banana-pro`	1K, 2K, 4K
Flux Schnell	`flux-schnell-image`	—
Flux Dev	`flux-dev-image`	—
Flux Dev LoRA	`flux-dev-lora`	—
Ideogram V2	`ideogram-v2`	—
SDXL	`sdxl`	—
And 15+ more...

🛠️ Tech Stack

Vite — Build tool & dev server
Tailwind CSS v4 — Utility-first styling
Vanilla JS — No framework, pure DOM manipulation
Muapi.ai — AI model API gateway

📄 License

MIT

🙏 Credits

Built with Muapi.ai — the unified API for AI image generation models.