https://github.com/maartengr/sprite-generator

Python procedural sprite generator
https://github.com/maartengr/sprite-generator

pixel pixel-art procedural-generation sprite-generator sprites

Last synced: 17 days ago
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Python procedural sprite generator

• Host: GitHub
• URL: https://github.com/maartengr/sprite-generator
• Owner: MaartenGr
• Created: 2020-04-29T11:00:12.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2023-10-03T21:56:58.000Z (over 1 year ago)
• Last Synced: 2025-03-25T13:45:59.703Z (about 1 month ago)
• Topics: pixel, pixel-art, procedural-generation, sprite-generator, sprites
• Language: Jupyter Notebook
• Homepage:
• Size: 206 KB
• Stars: 40
• Watchers: 3
• Forks: 4
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

        
Sprite Generator

======================

A python port of https://github.com/zfedoran/pixel-sprite-generator. It essentially

takes in any template and randomly generates sprites based on the template.   

## Algorithm

The sprites are generated by using a two dimensional mask. The values in the mask are then randomized and mirrored. The resulting template is rendered to a canvas element.



The algorithm is explained in more detail on [Dave Bollinger's](http://web.archive.org/web/20080228054410/http://www.davebollinger.com/works/pixelspaceships/) website.



## Examples

**Spaceships**  

![](images/spaceships.png)

**Robots**  

![](images/robots.png)

**Dragons**  

![](images/dragons.png)

**Dragons Top-Down**  

![](images/dragons_top.png)

## Code

```python

from SpriteGenerator import generate_canvas

robot = [[0, 0, 0, 0],

         [0, 1, 1, 1],

         [0, 1, 2, 2],

         [0, 0, 1, 2],

         [0, 0, 0, 2],

         [1, 1, 1, 2],

         [0, 1, 1, 2],

         [0, 0, 0, 2],

         [0, 0, 0, 2],

         [0, 1, 2, 2],

         [1, 1, 0, 0]]

im = generate_canvas(robot, 

                     color_variations=0.2, 

                     brightness_noise=0.3,

                     edge_brightness=0.3, 

                     saturation=0.2, 

                     colored=False, 

                     mirror=True, 

                     n=80,

                     nr_columns=20)

im.resize((im.size[0]*2, im.size[1]*2))

```