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https://github.com/luoling8192/mj-router
A FastAPI service that provides a unified interface for generating images using various AI providers (DALL-E, Midjourney, OpenRouter).
https://github.com/luoling8192/mj-router
Last synced: 16 days ago
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A FastAPI service that provides a unified interface for generating images using various AI providers (DALL-E, Midjourney, OpenRouter).
- Host: GitHub
- URL: https://github.com/luoling8192/mj-router
- Owner: luoling8192
- Created: 2024-12-31T09:02:03.000Z (25 days ago)
- Default Branch: main
- Last Pushed: 2025-01-01T11:33:05.000Z (24 days ago)
- Last Synced: 2025-01-07T18:19:07.141Z (17 days ago)
- Language: Python
- Homepage:
- Size: 236 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# AI Image Generation API
A unified FastAPI service for generating images through multiple AI providers (DALL-E, Midjourney). Integrates with [midjourney-proxy](https://github.com/novicezk/midjourney-proxy) for Midjourney support.
## Key Features
🎨 Core Features:
- 🔄 Asynchronous image generation with real-time progress tracking
- 🤖 Support for multiple AI providers (DALL-E, Midjourney)
- 📚 Comprehensive API documentation with OpenAPI/Swagger
⚙️ Technical Features:
- 🔌 Provider-agnostic interface with extensible provider system
- 🛡️ Robust error handling and retry mechanisms
- ⏳ Rate limiting and request queueing
- 📊 Structured logging and monitoring
## Getting Started
### System Requirements
- Python 3.12 or higher
- Package manager: uv
- For Midjourney integration:
- Running midjourney-proxy instance
- Discord account with active Midjourney subscription
- Discord server and channel configuration
### Setup Guide
1. Clone the repository:
```bash
git clone https://github.com/luoling8192/mj-router.git
cd mj-router
```
2. Set up Python environment:
```bash
python -m venv .venv
source .venv/bin/activate # Windows: `.venv\Scripts\activate`
```
3. Install dependencies:
```bash
uv venv
uv pip install -r requirements.txt
```
4. Configure environment:
```bash
cp .env.example .env
# Edit .env with your configuration
```
5. Launch development server:
```bash
uvicorn src.main:app --reload --port 8000
```