ScriptedStyles

Algorithmic Art + Automation in Python

ScriptedStyles is a Python-based framework for generating and automating digital artwork using mathematical algorithms, image processing, and data-driven visualization methods.

Originally begun as a personal project, it has evolved into a platform for experimenting with:

• Algorithmic generation of patterns, structures, and visual forms.
• Scientific visualization techniques applied creatively.
• Automation pipelines for bulk processing and uploading images (e.g., Instagram, Etsy, Pinterest).
• Exploration of applied math and physics concepts through code.

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Features

• Mathematical and algorithmic artwork generation (fractals, diffusion, tilings, geometric patterns).
• Reproducible workflows built in Python using NumPy, Matplotlib, and SciPy.
• Modular codebase for testing new generative ideas.
• Automation stack for batch-uploading to social and e-commerce platforms.
• Example image sets included in sample_images/.

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Project Structure

designs/
  fractals/           Collatz sequences, Mandelbrot sets
  differential_equations/  Euler method, finite difference, heat diffusion
  geometric_patterns/ Lines, triangles, spatial transforms, quilts
  heatmaps/           Turtle density, superformula, flower patterns
  random_walks/       2D random walk visualizations
  particle_simulations/  2D gas, pool ball collisions
  image_processing/   Alpha etching, adaptive thresholding, paintbrush
  curves/             Overlap plotting, Weierstrass, superformula, exponential
  words/              Text-based generative art
  ai/                 AI-assisted generation (Lichtenberg, GPT-driven)
  vector_field/       Magnetic field visualizations
  utils/              Shared image processing helpers
automation/           Historical e-commerce pipeline (Printify, Instagram)
sample_images/        Example outputs
docs/                 Privacy policy, data deletion
tests/                Smoke tests

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Usage

Requirements:

• Python 3.10+
• NumPy, Matplotlib, SciPy, OpenCV, Pillow

Quick start:

git clone https://github.com/hschn58/Scripted_Styles.git
cd Scripted_Styles
pip install -e ".[dev]"

python designs/heatmaps/flowers_v4.py     

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Generated Samples

Here are a few representative outputs generated with the scripts in this repo:

(Click thumbnails to view full size. See the sample_images/ folder for more.)

Real-World Deployment

This not only functioned as a personal project but used to be an active e-commerce automation pipeline:

• Artwork generation → produced in Python using the scripts in this repo.
• Fulfillment → connected via Printify to create physical products.
• Storefront → integrated with Etsy to manage product listings.
• Marketing → automated posting of generated images to Instagram and Facebook to drive engagement.

Links to deployed channels:

• Instagram: @scriptedstylesart
• Facebook: ScriptedStyles
• Etsy: ScriptedStylesArt Shop

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Notes

Many of these scripts were used to generate professional, large, high-resolution images.

• Created images can exceed 50 MB+.
• Depending on the project and your hardware, rendering can take 20–30 minutes (or longer) on a standard laptop.
• Reducing parameters such as dpi or grid_size (when available) can significantly decrease file size and runtime.

License

This project is licensed under the MIT License.