Awesome
<h1 align="center">glitch-this!</h1> <p align="center"><i>Create glitched images and GIFs, with highly customizable options!</i></p> <hr><p align="center"> <a href="https://pypi.org/project/glitch-this"><img alt="Pypi release" src="https://img.shields.io/pypi/v/glitch-this?color=red&label=pypi%20release&logo=pypi&logoColor=blue" /></a> <img alt="Stars" src="https://img.shields.io/github/stars/TotallyNotChase/glitch-this.svg?label=Stars&style=flat" /> <a href="https://pepy.tech/project/glitch-this"><img alt="Pypi downloads" src="https://pepy.tech/badge/glitch-this" /></a> <a href="http://www.python.org/download/"><img alt="Python 3" src="https://img.shields.io/badge/Python-3-yellow.svg"></a> <a href="https://github.com/TotallyNotChase/glitch-this/blob/master/LICENSE"><img src="https://img.shields.io/github/license/TotallyNotChase/glitch-this.svg" alt="License"/></a> </p>A commandline tool + python
library to glitchify images and even make GIFs out of them!
Featuring 100 gradually different levels of glitching intensity! The algorithm used to create glitched images is a slightly modifed version of the popular ImageGlitcher tool's algorithm, so you can expect the glitched images to look really cool!
NOW WITH GIF TO GLITCHED GIF SUPPORT! Check out the docs!
If you like using this tool, please consider starring on Github!
What are you waiting for? Import the library and get glitching!
NOTE : Works best with RGB/RGBA images
Checkout a web demo right here, courtesy of @pahefu
What others have to say ~
- #1 hot in r/python
- #1 hot in r/programming
- #1 hot in r/broken_gifs
- #1 hot in r/glitch_art
- #4 product of the day in producthunt
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FEATURES!
-
Choose any glitching intensity between 0.1 and 10.0, yes those are floats!
Each level is gradually different!
Want just a tiny bit of glitching, enough to make your image look cool? - use level 2 (my favorite)!
-
Add scan lines for a retro CRT effect! Add color offset for even cooler glitching!
-
Create Glitched GIFs from a normal image!
That's right, before this tool, I had to manually download each image from ImageGlitcher, save them, and then head to a GIF creation website.
Now you can do it all at once!
-
Glitch normal GIFs into glitched GIFs!
-
Customize step of glitching, you can glitch every step'th frame instead of all frames!
-
Increment/Decrement glitching intensity while glitching every frame!
So you can have a frame glitched with intensity 2, but the next can be 5, the next to that can be 8 and so on!
-
Customize the number of frames in a GIF as well as their duration - all from the comfort of your terminal!
-
Set how many times the GIF should loop!
-
Set your own custom seed for a predictable RNG!
Changelog
View the changelog here
Requirements
python 3
pillow
numpy
These will be automatically installed when you install the library! (assuming you have python3
)
Installation
Simply install glitch-this
from pypi!
pip install glitch-this
(OR)
pip3 install glitch-this
Quick Start
Now that you have the library installed, all you need to do is invoke the script and pass in the params
glitch_this [IMAGE PATH] [GLITCH_LEVEL]
Try glitch_this -h
for more info! Directly from your commandline!
Or, Check out the script docs!
Interested in the library? Check out the library docs!
DOCS! WHERE TO?!
Read the script docs!
Read the library docs!
Check out a full example using the library!
Whoa! Cool Glitches
Here's some glitched images generated from this script - of different intensity levels!
NOTE: All these images had -c
parameter included, for color offset
Original image for reference:-
Glitched version - Level 2:-
Not badly glitched now is it?
Glitched version - Level 5:-
Well it's certainly starting to get glitchy
Glitched version - Level 8:-
I don't know what I'm looking at
Let's get some scan lines on there!
Glitched version (scan_lines)- Level 2:-
Glitched version (scan_lines) - Level 5:-
Glitched version (scan_lines) - Level 8:-
That's neat, but how about some GIFs? Here's some GIFs from the same image:-
Note: All the GIFs use default values from FRAMES
and DURATION
, i.e 23 and 200 respectively