Image texture generators for Array Modifier "instance ID"

imggen_randompatches.py

# imggen_randompatches.py
# 
# Python script to generate an image with greyscale "patches"
# from black (0.0 / 0) to white (1.0 / 255) in random order
#
# CC-BY Chris Hindefjord - chris.hindefjord.se - 2023-08
# 
# Tested with Python 3.9.2
# NB: Requires the PIL/Pillow library!
#
# Usage:
#  Change the settings below to match the grid that you want.
#  Two things to note:
#     * The image doesn't need to be high resolution,
#       but I probably wouldn't go bellow 500px (or 30px per patch)
#     * If you change the number of columns (& rows) so the total number of patches
#       will be larger than 256 you WILL get duplicate values.
#       (NB: Since each patch is individually randomized, there is no guarantee
#            that you will get an image where each possible value [0-255] is
#            represented, even if you have 256 patches)
#
#  Run:
#    python3 imggen_randompatches.py
#

width, height = 1024, 1024
columns       = 32
rows          = columns  # It is recommended to have the same amount of rows as columns,
                         #  but you can change that if you want.

file_prefix  = 'img_randompatches_'


#################################################
# You are advised not to edit anything bellow.  #
# If you do, you risk breaking the script!      #
#################################################

from PIL import Image, ImageDraw
import random

maxcolor = 255
maxsquare = columns * rows
square_side_x = width/columns
square_side_y = height/rows

filename = file_prefix + str(columns) + 'x' + str(rows) + '.png'

img = Image.new("RGB", (width, height))
img1 = ImageDraw.Draw(img)

for y in range(0, columns):
    for x in range(0, columns):
        c = random.randint(0, 255)

        color = (c, c, c)

        shape = [(x*square_side_x, y*square_side_y), ((x+1)*square_side_x, (y+1)*square_side_y)]
        img1.rectangle(shape, fill = color)

img.save(filename)

print("Generated image saved to " + filename)

imggen_sequence.py

# imggen_sequence.py
# 
# Python script to generate an image with greyscale "patches"
# from black (0.0 / 0) to white (1.0 / 255)
#
# CC-BY Chris Hindefjord - chris.hindefjord.se - 2023-08
# 
# Tested with Python 3.9.2
# NB: Requires the PIL/Pillow library!
#
# Usage:
#  Change the settings below to match the grid that you want.
#  Two things to note:
#     * The image doesn't need to be high resolution,
#       but I probably wouldn't go bellow 500px (or 30px per patch)
#     * If you change the number of columns (& rows) so the total patches
#       will be larger than 256 it will result in an image with repeated
#       value (being 1.0 or 'white')
#
#  Run:
#    python3 imggen_sequence.py
#

width, height = 1024, 1024
columns       = 16
rows          = columns  # It is recommended to have the same amount of rows as columns,
                         #  but you can change that if you want.

file_prefix  = 'img_sequencegrid_'


#################################################
# You are advised not to edit anything bellow.  #
# If you do, you risk breaking the script!      #
#################################################

from PIL import Image, ImageDraw

maxcolor = 256
maxsquare = rows * columns
square_side_x = width/columns
square_side_y = height/rows

filename = file_prefix + str(columns) + 'x' + str(rows) + '.png'

if maxsquare > maxcolor:
    print("WARNING: The number of patches (%d) is larger than the maximal color value (%d)!" % (maxsquare, maxcolor))
    print("          The resulting image might not be what you expected (containing a big 'white' section)\n")

img = Image.new("RGB", (width, height))

img1 = ImageDraw.Draw(img)

square = 0

for y in range(0, columns):
    for x in range(0, rows):
        c = square

        color = (c, c, c)

        shape = [(x*square_side_x, y*square_side_y), ((x+1)*square_side_x, (y+1)*square_side_y)]
        img1.rectangle(shape, fill = color)
        square += 1

img.save(filename)

print("Generated image saved to " + filename)