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| addons/procedural_material | ||
| doc | ||
| examples | ||
| .gitignore | ||
| LICENSE | ||
| README.md | ||
| default_env.tres | ||
| export_presets.cfg | ||
| generated_image.png.import | ||
| icon.png | ||
| icon.png.import | ||
| project.godot | ||
README.md
This is an addon for the Godot game engine that can be used to create texture procedurally.
Its user interface is based on Godot's GraphEditor: textures are described as interconnected texture generators and operators.
Generators
Image
This operator reads a bitmap from disk
Pattern
This generator creates a greyscale image by mixing an horizontal and a vertical pattern. Patterns can either be based on a sine, triangle or square waveform (i.e. the color as function of the x or y coordinate). The frequency (number of waves per unit) be configure for both axes. Mix functions can also be configured.
Bricks
This generator creates bricks greyscale patterns.
The Bricks generator has 5 parameters:
- the number of brick rows
- the number of bricks per row
- the offset between even and odd rows
- the mortar space between bricks
- the bevel at the edge of the bricks
The bricks generator has 2 output:
- the first one will show mortal as black and bricks as white (bevel being shown as a gradient). It can be used as mask to mix brick and mortar, or to generate depth and normal textures
- the second one will just show a different color for each brick. It can be used to affect the brick's colors (and will be used in the future to offset textures).
Perlin Noise
The Perlin Noise generator creates a greyscale pattern and has 4 parameters:
- the horizontal and vertical scale of the first iteration
- the number of iteration
- the persistence (the weight ratio between 2 iterations)
Voronoi Noise
The Voronoi Noise generator creates greyscale patterns based on Voronoi diagrams and has 3 parameters:
- the horizontal and vertical scale (the number of feature points)
- the "intensity" of the noise (used to adjust the generated color)
The Voronoi generator has 3 outputs:
- The first output shows a greyscale image where intensity depends on the distance to the cell centers
- The second output shows a greyscale image where intensity depends on the distance to the cell edges
- The third output shows a different color for each cell.
