Pollinations Self-Hosting Guide
The self-hosted Pollinations service allows users to run the platform on their own servers for better privacy protection and customization capabilities.
Installation steps::
- Ensure that Git and Python are installed on your system.
- Cloning the code base:
git clone https://github.com/pollinations/pollinations.git - Go to the project catalog:
cd pollinations - Install the dependencies:
pip install -r requirements.txt - Start the service:
python main.py - Access to local services: http://localhost:5000
caveat::
- Self-hosted versions may require self-configuration of some model API keys
- Servers need to have enough compute resources (especially GPUs) to support AI inference
- Python 3.8 or above is recommended
- Production deployments require the use of a WSGI server such as Gunicorn.
- Domestic users may need to configure proxies to resolve github and model download issues
Advanced Configuration::
It can be adjusted by modifying the config.py file:
- Default model parameters
- service port number
- Cache Settings
- Concurrency limits, etc.
This answer comes from the articlePollinations: free big model services in the form of URL splicing and APIsThe
May not be reproduced without permission:AI productivity tools " How do I self-host my Pollinations service? What are the do's and don'ts?
