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library for instagram filters

Project description

pilgram

DOI PyPI PyPI - Python Version Python CI codecov

A python library for instagram filters.

screenshot

The filter implementations are inspired by CSSgram.

Requirements

Pillow Compatibility Notes

Important: This library requires specific Pillow versions for optimal compatibility:

  • Pillow >= 10.3.0: Use latest pilgram version for full feature support including ImageMath.lambda_eval
  • Pillow < 10.3.0: Use pilgram<2.0.0 which supports older Pillow versions with ImageMath.eval
  • pillow-simd: Use pilgram<2.0.0 (pillow-simd lacks ImageMath.lambda_eval support)

Version Selection Guide

# For Pillow >= 10.3.0
pip install pillow>=10.3.0
pip install pilgram  # Latest version

# For Pillow < 10.3.0 or pillow-simd
pip install pillow<10.3.0  # or pillow-simd
pip install "pilgram<2.0.0"

Install

Recommended (Latest Pillow)

pip install pillow>=10.3.0
pip install numpy
pip install pilgram  # Latest version with ImageMath.lambda_eval support

For Older Pillow Versions

pip install pillow<10.3.0  # or pillow-simd
pip install numpy
pip install "pilgram<2.0.0"  # Last version supporting ImageMath.eval

Usage

Available instagram filters on pilgram:

  • _1977
  • aden
  • brannan
  • brooklyn
  • clarendon
  • earlybird
  • gingham
  • hudson
  • inkwell
  • kelvin
  • lark
  • lofi
  • maven
  • mayfair
  • moon
  • nashville
  • perpetua
  • reyes
  • rise
  • slumber
  • stinson
  • toaster
  • valencia
  • walden
  • willow
  • xpro2
from PIL import Image
import pilgram

im = Image.open('sample.jpg')
pilgram.aden(im).save('sample-aden.jpg')

Similarly, pilgram provides css filters and blend modes as a by-product.

Available css filters on pilgram.css:

  • contrast
  • grayscale
  • hue_rotate
  • saturate
  • sepia
from PIL import Image
import pilgram.css

im = Image.open('sample.jpg')
pilgram.css.sepia(im).save('sample-sepia.jpg')

Available blend modes on pilgram.css.blending:

  • color
  • color_burn
  • color_dodge
  • darken
  • difference
  • exclusion
  • hard_light
  • hue
  • lighten
  • multiply
  • normal
  • overlay
  • screen
  • soft_light
from PIL import Image
import pilgram.css.blending

backdrop = Image.open('backdrop.jpg')
source = Image.open('source.jpg')
pilgram.css.blending.color(backdrop, source).save('blending.jpg')

Demo

Open In Colab

Filter performance comparison with instagram-filters

Open In Colab

filter performance comparison

Development

Setup development environment

# Install uv (if not already installed)
curl -LsSf https://astral.sh/uv/install.sh | sh

# Clone the repository
git clone https://github.com/akiomik/pilgram.git
cd pilgram

# Install dependencies (including dev dependencies)
uv sync --all-extras

# Install Pillow or pillow-simd (choose one)
uv add pillow>=9.3.0  # or uv add pillow-simd

Run commands

make check       # Run all checks (lint + format-check + type-check + test)
make test        # Run tests only
make lint        # Run ruff linting
make format      # Format code with ruff
make test-benchmark  # Run performance benchmarks

Project details


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