pyctorial 0.1.1

Python tools for generating patterns and manipulating images

pyctorial

pip install pyctorial

pyctorial is a Python library for generating patterns and manipulating images. It provides tools for:

• Generative gradients
• Halftone rendering (bitmap and vector)
• Image slicing
• Gradient stretching
• Programmatic image pipelines

It is designed to work both:

• Inside Python scripts
• Directly from the command line

The library focuses on a simple functional API where most operations:

• take a PIL.Image
• return a new PIL.Image

This makes it easy to compose multiple operations together.

---

Installation

pip install pyctorial

For development:

git clone https://github.com/decentishdev/pyctorial
cd pyctorial
pip install -e .

---

Quick Example

import pyctorial as px

img = px.load("photo.jpg")

dots = px.halftone(img)

px.save(dots, "halftone.png")

---

Command Line Example

pyctorial halftone photo.jpg dots.png

---

Philosophy

Most functions follow a simple pattern:

Image -> transform -> Image

This allows composable pipelines:

import pyctorial as px

img = px.load("portrait.jpg")

img = px.halftone(img)
img = px.gradient_stretch(img, x_start=400)

px.save(img, "result.png")

---

Core API

Image IO

These functions allow loading and saving images.

Load Image

import pyctorial as px

img = px.load("input.png")

Optional mode conversion:

img = px.load("photo.jpg", mode="L")

Save Image

px.save(img, "output.png")

---

Filters

Filters modify an existing image.

---

Halftone Filter

Creates a dot halftone effect similar to old print media.

Python Usage

import pyctorial as px

img = px.load("portrait.jpg")

dots = px.halftone(
    img,
    cell_size=12,
    max_dot_ratio=0.9
)

px.save(dots, "dots.png")

Parameters

Parameter	Description
cell_size	Size of the halftone grid
max_dot_ratio	Maximum dot size relative to cell
invert	Invert brightness mapping

Example

dots = px.halftone(img, cell_size=8)

---

Vector Halftone (SVG)

Generates a vector halftone that scales infinitely.

Returns an SVG string.

Python Example

svg = px.halftone_svg(img)

px.save_svg(svg)

Example with parameters

svg = px.halftone_svg(
    img,
    cell_size=10,
    max_dot_ratio=0.8
)

---

Pattern Generation

Pattern generators create new images from scratch.

---

Noisy Gradient

Creates a blurred, warped, generative gradient.

This gradient uses:

• focal color points
• gaussian blur
• Perlin noise warping
• film grain

Python Example

import pyctorial as px

img = px.noisy_gradient(
    width=1200,
    height=800,
    num_focal_points=6
)

px.save(img, "gradient.png")

Parameters

Parameter	Description
width	Output width
height	Output height
num_focal_points	Number of color sources
blur_strength	Amount of gradient blur
warp_strength	Strength of noise distortion

Example

img = px.noisy_gradient(
    2000,
    2000,
    num_focal_points=10,
    blur_strength=300
)

---

Transforms

Transforms reshape an image spatially.

---

Slice

Splits an image into vertical slices.

Python Example

import pyctorial as px

img = px.load("image.png")

slices = px.slice(img, slices=8)

for i, s in enumerate(slices):
    px.save(s, f"slice_{i}.png")

Parameters

Parameter	Description
slices	Number of vertical slices

---

Gradient Stretch

Expands an image horizontally by interpolating columns.

Useful for generative distortions.

Python Example

img = px.load("gradient.png")

stretch = px.gradient_stretch(
    img,
    x_start=300,
    width_multiplier=2.0
)

px.save(stretch, "stretched.png")

Parameters

Parameter	Description
x_start	Column where stretching begins
width_multiplier	How much to expand width
base_spacing	Initial anchor spacing
growth_base	Exponential growth factor
max_anchors	Maximum anchor points

---

Command Line Interface

pyctorial includes a command line tool.

pyctorial COMMAND [OPTIONS]

---

CLI: Halftone

pyctorial halftone input.jpg output.png

Options:

--cell-size 10
--max-dot-ratio 0.8
--invert

Example:

pyctorial halftone photo.jpg dots.png --cell-size 8

---

CLI: Halftone SVG

pyctorial halftone-svg input.jpg output.svg

Example:

pyctorial halftone-svg portrait.jpg halftone.svg

---

CLI: Noisy Gradient

pyctorial noisy-gradient output.png

Example:

pyctorial noisy-gradient gradient.png \
    --width 2000 \
    --height 2000 \
    --focal-points 8

---

CLI: Slice

pyctorial slice input.png output_directory --slices 12

Example:

pyctorial slice image.png slices/ --slices 10

---

CLI: Gradient Stretch

pyctorial gradient-stretch input.png output.png --x-start 400

Example:

pyctorial gradient-stretch gradient.png stretched.png \
    --x-start 300 \
    --width-multiplier 3

---

Example Pipelines

Halftone a Generated Gradient

import pyctorial as px

img = px.noisy_gradient(1200, 800, 6)

img = px.halftone(img)

px.save(img, "gradient_halftone.png")

---

Generate Multiple Gradients

import pyctorial as px

for i in range(10):

    img = px.noisy_gradient(1200, 800, 6)

    px.save(img, f"gradient_{i}.png")

---

Gradient Stretch Art

import pyctorial as px

img = px.load("gradient.png")

img = px.gradient_stretch(img, x_start=500)

px.save(img, "abstract.png")

---

Module Structure

pyctorial
├── filters
│   └── halftone
│
├── generate
│   └── noisy_gradient
│
├── transforms
│   ├── slice
│   └── gradient_stretch
│
├── io
│
└── cli

---

Dependencies

pyctorial relies on several libraries:

• Pillow
• NumPy
• noise
• scipy
• tqdm

These will automatically install with pip.

---

Contributing

Contributions are welcome.

Possible areas:

• new pattern generators
• image filters
• geometric distortions
• color tools
• GPU acceleration

---

License

MIT License

---

Future Ideas

Possible future features:

• Voronoi patterns
• Flow fields
• Reaction diffusion textures
• Fractal noise generators
• Tiling generators
• Image dithering
• Color palette utilities
• Node-based pipelines

---

Summary

pyctorial is intended as a lightweight generative image toolkit combining:

• procedural pattern generation
• image filters
• spatial transforms
• CLI utilities

It is ideal for:

• generative art
• image experimentation
• creative coding
• automated graphics pipelines

---

Enjoy creating with pyctorial.