semvec/pypi-packages huggingface dataset:
winzy-text-to-image 0.4
Generate text to image using pollinations.ai api
License: Apache-2.0

# winzy-text-to-image

[![PyPI](https://img.shields.io/pypi/v/winzy-text-to-image.svg)](https://pypi.org/project/winzy-text-to-image/)
[![Changelog](https://img.shields.io/github/v/release/sukhbinder/winzy-text-to-image?include_prereleases&label=changelog)](https://github.com/sukhbinder/winzy-text-to-image/releases)
[![Tests](https://github.com/sukhbinder/winzy-text-to-image/workflows/Test/badge.svg)](https://github.com/sukhbinder/winzy-text-to-image/actions?query=workflow%3ATest)
[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://github.com/sukhbinder/winzy-text-to-image/blob/main/LICENSE)

Generate text to image using pollinations.ai api

## Installation

First configure your Winzy project [to use Winzy](https://github.com/sukhbinder/winzy).

Then install this plugin in the same environment as your Winzy application.
```bash
pip install winzy-text-to-image
```
## Usage

To create an image, use it like this.

```bash
winzy txt2img -p a punjabi family of four overloking a valley 
```
This produces this image.

![Punjabi Family](punjabi-family.jpg)


## Development

To set up this plugin locally, first checkout the code. Then create a new virtual environment:
```bash
cd winzy-text-to-image
python -m venv venv
source venv/bin/activate
```
Now install the dependencies and test dependencies:
```bash
pip install -e '.[test]'
```
To run the tests:
```bash
python -m pytest
```