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.
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
Pillow for image processing (PIL) PyTorch (torch) for tensor operations Numpy (numpy)
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add_text_overlay: Adds text to an image according to specified parameters such as alignment, color, font size, etc.
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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.
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Loop, LoopStart, LoopEnd A set of classes designed to facilitate custom loop constructs that can dynamically handle iteration based on runtime conditions.
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EndQueue Conditioning end of current queue
Contributions are welcome. Please fork the repository and submit a pull request with your suggested changes.
This project is licensed under the MIT License - see the LICENSE file for details.