Meta AI Image Generation Service

FastAPI wrapper for Meta AI image generation using metaai-api.

Features

🎨 Image Generation - Generate AI images via Meta AI
🔐 Cookie Auth - Uses Facebook/Meta cookies for authentication
⚡ Rate Limiting - Built-in rate limiting to prevent shadowban
🐳 Docker Ready - Easy deployment with Docker

Quick Start

Local Development

# Install dependencies
pip install -r requirements.txt
pip install git+https://github.com/mir-ashiq/metaai-api.git

# Run server
uvicorn app.main:app --reload --port 8000

Docker

docker build -t meta-ai-service .
docker run -p 8000:8000 meta-ai-service

API Endpoints

Endpoint	Method	Description
`/health`	GET	Health check
`/generate/sync`	POST	Sync generation (waits for result)
`/generate`	POST	Async generation (returns task_id)
`/status/{task_id}`	GET	Get async task status
`/rate-limit`	GET	Get rate limit status

Usage Example

import requests

response = requests.post("http://localhost:8000/generate/sync", json={
    "prompt": "Imagine a beautiful sunset over mountains",
    "cookies": [
        {"name": "c_user", "value": "..."},
        {"name": "xs", "value": "..."},
        # ... other Facebook/Meta cookies
    ]
})

print(response.json())
# {"success": true, "images": [{"url": "...", "prompt": "...", "model": "imagine"}]}

Required Cookies

You need Facebook/Meta cookies for authentication:

Cookie	Description
`c_user`	Facebook user ID
`xs`	Facebook session token
`sb`	Session browser identifier
`datr`	Device tracking
`abra_sess`	Meta AI session

Export cookies from browser using Cookie-Editor extension.

Environment Variables

Variable	Default	Description
`META_RATE_LIMIT_DELAY`	30	Seconds between requests
`META_MAX_REQUESTS_HOUR`	30	Max requests per hour

Updating metaai-api

To get the latest version of the underlying library:

pip install -U git+https://github.com/mir-ashiq/metaai-api.git

License

MIT

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