Features

Image Text Overlay: Add customizable text overlays to images. Prompt Selection and Scheduling: Manage and format string prompts based on configurable parameters. Loop Constructs: Implement looping mechanisms which can reset based on conditions. Special Comparators: Utilize a unique string class for special comparison features.

Installation

To run the scripts, you need Python 3.6 or higher. Dependencies are listed in requirements.txt, which can be installed using:

pip install -r requirements.txt

Requirements

Pillow for image processing (PIL) PyTorch (torch) for tensor operations Numpy (numpy)

Methods

add_text_overlay: Adds text to an image according to specified parameters such as alignment, color, font size, etc.

PromptSelector and PromptSchedule

These classes are used to handle and format text prompts. They support selecting prompts based on input indices and applying pre- and post-text to formatted outputs.

Loop, LoopStart, LoopEnd

A set of classes designed to facilitate custom loop constructs that can dynamically handle iteration based on runtime conditions.

EndQueue

Conditioning end of current queue

Contributions

Contributions are welcome. Please fork the repository and submit a pull request with your suggested changes.

License

This project is licensed under the MIT License - see the LICENSE file for details.