thonk 1.0.1

Generate randomized thinking emoji images

Thonk

Tired of the same old thinking emoji? Here's an infinite supply of new ones.

Purpose

Generates unique thinking emojis with completely randomized features.

from thonk import generate_thonk

img = generate_thonk(seed=42)
img.save("thonk.png")

Same seed always produces the same image. Different seeds produce wildly different results.

Installation

pip install thonk

Requires Python 3.8+ and Pillow (installed automatically).

Usage

from thonk import generate_thonk

# Returns a PIL Image in RGBA mode
img = generate_thonk(seed=42)

# Output size in pixels (default 512)
img = generate_thonk(seed=42, output_size=1024)

# Seeds can be any hashable value
img = generate_thonk(seed="thonk")

# Save, encode, display
img.save("thonk.png")
img.save("thonk.webp")
img.show()

How it works

Each image is built from a set of randomized polygon features - face, eyes, mouth, eyebrows, and hand - smoothed with Chaikin's algorithm and composited in order onto a transparent canvas.

• Face - An irregular blob whose points are pushed outward from center by a random amount, controlled by a spikiness value.
• Eyes - Placed at random positions inside the face (or a 1/20 chance to be placed outside), using the same blob construction with a lesser spikiness range.
• Mouth - One of five moods: neutral (rectangle), open smile/frown (Bézier curve), or closed smile/frown (a filled ellipse arc).
• Eyebrows - Thick angled strokes above each eye; if the eyes are close in height, they're merged into a unibrow instead.
• Hand - Three smoothed rectangles (thumb, finger, palm) placed at the lowest point of the face, randomly rotated and scaled.
• Bridging - If eyes or mouth land outside the face, they get their own blob to sit on, connected back to the face with a generated bridge shape.

Everything is rendered at 2x the target resolution and downsampled with a Lanczos filter for smooth edges.