Much darker background colors with pywal16 comapred to python-pywal arch package

[ghost]

I switched to your pywal fork and i noticed that background colors are almost pitch black compared to python-pywal i was using before

Is there any way to make pywal16 behave like python-pywal
(I used VSCode as a example but this apllies to anything that sues @backgroundColor including my waybar and rofi presets)

python-pywal package from arch repo

pywal16 installed with pipx

[guillaumeboehm]

Just throwing that here, I didn't check anything. But the goal of pywal16 is to have a wider range of colors, the backgroundColor in the original pywal is likely closer to color8 of pywal16 rather than color0. I'd say the solution for you if you want a lighter background color is to tap in color8 instead of backgroundColor? Otherwise it would simply turn the issue around for people that want a darker background color I think?

Although I get the issue of not being very iso with pywal, but I'm not sure that is the goal of the project.

[ghost]

@guillaumeboehm

This how color 8 looks like

Here is the template i use as well in case it's needed

@define-color foreground {foreground};
@define-color background {background};
@define-color cursor {cursor};

@define-color color0 {color0};
@define-color color1 {color1};
@define-color color2 {color2};
@define-color color3 {color3};
@define-color color4 {color4};
@define-color color5 {color5};
@define-color color6 {color6};
@define-color color7 {color7};
@define-color color8 {color8};
@define-color color9 {color9};
@define-color color10 {color10};
@define-color color11 {color11};
@define-color color12 {color12};
@define-color color13 {color13};
@define-color color14 {color14};
@define-color color15 {color15};

[guillaumeboehm]

Maybe color generation could need some rework, but seeing that a partial or maybe full rewrite of the program is probably on the way. I'd say it can wait until then.

[niksingh710]

yep i have noticed that too.
but if i change engine to haishoku then it works a bit nice and doesn't tilt towards dark black.

[niksingh710]

@eylles is the background dark color is intentional?

[eylles]

hmmm i barely changed anything about how colors are generated and adjusted, tho i think when sonjiku made the original pr he did make color[0] quite darker.

welp i guess it happened either here: e504c55 or here: 42efe31

hmmm interesting, the only change is with the wal backend that is now generating a darker bg color.

with my current wallapaper:

these are the values i get

pywal16
wal bg:	#050509
colorthief bg:	#08090f

pywal
wal bg:	#11101d
colorthief bg:	#08090f

tagging @BEST8OY since he also reported this.

welp i'll simply modify the wal backend to output a lighter color before it gets darkened by the generic adjust function, unless someone does want to also have the darker bg from wal as an option.

[niksingh710]

looking forward for the fix commit.
and for general info ig that everyone knows but pywal is now archived..... so now pywal-16 is going to be the standard replacement ig.

[BEST8OY]

hmmm i barely changed anything about how colors are generated and adjusted, tho i think when sonjiku made the original pr he did make color[0] quite darker.
tagging @BEST8OY since he also reported this.

still not the way I expect it to be!

[eylles]

Would you mind sharing your wallpaper so i can use it to check the color values first hand?

[niksingh710]

Would you mind sharing your wallpaper so i can use it to check the color values first hand?

I don't have the wallpaper used by @BEST8OY but the wallpaper i used for above is

in the above preview you can see that colors of nautilus are quite darker (better than before but still a bit darker)

using 3.5.3

[BEST8OY]

Would you mind sharing your wallpaper so i can use it to check the color values first hand?

[eylles]

Thanks, will check and try to figure out where in the code the color 0 shades differ

[niksingh710]

This is the image that should give a brownish background but it is giving a pitch black one.

I generate pywal colors for heroic and i use color0 -> backgroud as the background for the heroic launcher

[eylles]

thanks, will have to use the 3 images to check exactly what is going on, haven't had much time to check and fix this since last friday catched a sprained ankle and got 2 things that i need to tend before going back to this.

[niksingh710]

@eylles is this done for only wal as haishoku engine bg is fine and looking nice.

[eylles]

so about work on this i got a test diff with 3 prints, first is the raw output from imagemagick with garbage values and all, second is the dict of colors before the adjust function and third is after the adjust function.

diff --git a/pywal/backends/wal.py b/pywal/backends/wal.py
index 77f51c7..ea9fe52 100644
--- a/pywal/backends/wal.py
+++ b/pywal/backends/wal.py
@@ -20,6 +20,7 @@ def imagemagick(color_count, img, magick_command):
     try:
         output = subprocess.check_output([*magick_command, img, *flags],
                                          stderr=subprocess.STDOUT).splitlines()
+        print(output)
     except subprocess.CalledProcessError as Err:
         logging.error("Imagemagick error: %s", Err)
         logging.error(
@@ -79,4 +80,7 @@ def get(img, light=False, cols16=False):
     garbage = "# Image"
     if garbage in colors:
         colors.remove(garbage)
-    return adjust(colors, light, cols16)
+    print(colors)
+    result = adjust(colors, light, cols16)
+    print(result)
+    return result

now i just need to apply something similar to legacy pywal, got a clone of the og repo and the latest release tag checked, will return in a while with the diff and some tests to try and gather where exactly do the colors differ and perhaps why and for how much.

[eylles]

@eylles is this done for only wal as haishoku engine bg is fine and looking nice.

you mean in pywal16 3.5.3 or in pywal 3.3.0 ? cuz previos versions of pywal16 would produce a darker bg color right now the generic adjust function checks if the first element of the color[0] (bg) is "0" and if it isn't it will darken the color by 40%

pywal16/pywal/colors.py

Lines 67 to 129 in a5ebec0

	def generic_adjust(colors, light, cols16):
	"""Generic color adjustment for themers."""
	if light:
	for color in colors:
	color = util.saturate_color(color, 0.60)
	color = util.darken_color(color, 0.5)
	colors[0] = util.lighten_color(colors[0], 0.95)
	if cols16:
	colors[7] = util.darken_color(colors[0], 0.50)
	colors[8] = util.darken_color(colors[0], 0.25)
	if cols16 == "darken":
	colors[1] = util.darken_color(colors[1], 0.25)
	colors[2] = util.darken_color(colors[2], 0.25)
	colors[3] = util.darken_color(colors[3], 0.25)
	colors[4] = util.darken_color(colors[4], 0.25)
	colors[5] = util.darken_color(colors[5], 0.25)
	colors[6] = util.darken_color(colors[6], 0.25)
	colors[15] = util.darken_color(colors[0], 0.75)
	elif cols16 == "lighten":
	colors[9] = util.lighten_color(colors[1], 0.25)
	colors[10] = util.lighten_color(colors[2], 0.25)
	colors[11] = util.lighten_color(colors[3], 0.25)
	colors[12] = util.lighten_color(colors[4], 0.25)
	colors[13] = util.lighten_color(colors[5], 0.25)
	colors[14] = util.lighten_color(colors[6], 0.25)
	colors[15] = util.darken_color(colors[0], 0.75)
	else:
	colors[7] = util.darken_color(colors[0], 0.75)
	colors[8] = util.darken_color(colors[0], 0.25)
	colors[15] = colors[7]
	else:
	if colors[0][1] != "0": # the color may already be dark enough
	colors[0] = util.darken_color(colors[0], 0.40) # just a bit darker
	if cols16:
	colors[7] = util.lighten_color(colors[0], 0.50)
	colors[8] = util.lighten_color(colors[0], 0.25)
	colors[15] = util.lighten_color(colors[0], 0.75)
	if cols16 == "darken":
	colors[1] = util.darken_color(colors[1], 0.25)
	colors[2] = util.darken_color(colors[2], 0.25)
	colors[3] = util.darken_color(colors[3], 0.25)
	colors[4] = util.darken_color(colors[4], 0.25)
	colors[5] = util.darken_color(colors[5], 0.25)
	colors[6] = util.darken_color(colors[6], 0.25)
	elif cols16 == "lighten":
	colors[9] = util.lighten_color(colors[1], 0.25)
	colors[10] = util.lighten_color(colors[2], 0.25)
	colors[11] = util.lighten_color(colors[3], 0.25)
	colors[12] = util.lighten_color(colors[4], 0.25)
	colors[13] = util.lighten_color(colors[5], 0.25)
	colors[14] = util.lighten_color(colors[6], 0.25)
	for i in range(9, 15):
	colors[i] = util.saturate_color(colors[i], 0.60)
	else:
	colors[7] = util.lighten_color(colors[0], 0.75)
	colors[8] = util.lighten_color(colors[0], 0.25)
	colors[15] = colors[7]
	return colors

that 40% was the adjust from legacy pywal to the bg color of the wal backend:

pywal16/pywal/backends/wal.py

Lines 57 to 81 in 984c7b6

	def adjust(colors, light):
	"""Adjust the generated colors and store them in a dict that
	we will later save in json format."""
	raw_colors = colors[:1] + colors[8:16] + colors[8:-1]
	# Manually adjust colors.
	if light:
	for color in raw_colors:
	color = util.saturate_color(color, 0.5)
	raw_colors[0] = util.lighten_color(colors[-1], 0.85)
	raw_colors[7] = colors[0]
	raw_colors[8] = util.darken_color(colors[-1], 0.4)
	raw_colors[15] = colors[0]
	else:
	# Darken the background color slightly.
	if raw_colors[0][1] != "0":
	raw_colors[0] = util.darken_color(raw_colors[0], 0.40)
	raw_colors[7] = util.blend_color(raw_colors[7], "#EEEEEE")
	raw_colors[8] = util.darken_color(raw_colors[7], 0.30)
	raw_colors[15] = util.blend_color(raw_colors[15], "#EEEEEE")
	return raw_colors

however not every backend takes nicely to using the new 40% darken of the background as many backends such as:
schemer2:

pywal16/pywal/backends/schemer2.py

Line 24 in 984c7b6

return colors.generic_adjust(raw_colors, light)

haishoku:

pywal16/pywal/backends/haishoku.py

Lines 25 to 31 in 984c7b6

	def adjust(cols, light):
	"""Create palette."""
	cols.sort(key=util.rgb_to_yiq)
	raw_colors = [*cols, *cols]
	raw_colors[0] = util.lighten_color(cols[0], 0.40)
	return colors.generic_adjust(raw_colors, light)

colorz:

pywal16/pywal/backends/colorz.py

Line 31 in 984c7b6

return colors.generic_adjust(raw_colors, light)

expect the old adjust function that would darken their background by 80%

pywal16/pywal/colors.py

Lines 55 to 73 in 984c7b6

	def generic_adjust(colors, light):
	"""Generic color adjustment for themers."""
	if light:
	for color in colors:
	color = util.saturate_color(color, 0.60)
	color = util.darken_color(color, 0.5)
	colors[0] = util.lighten_color(colors[0], 0.95)
	colors[7] = util.darken_color(colors[0], 0.75)
	colors[8] = util.darken_color(colors[0], 0.25)
	colors[15] = colors[7]
	else:
	colors[0] = util.darken_color(colors[0], 0.80)
	colors[7] = util.lighten_color(colors[0], 0.75)
	colors[8] = util.lighten_color(colors[0], 0.25)
	colors[15] = colors[7]
	return colors

for colorthief i added a pre-adjust to try and match the old adjust that it had and darken the bg color by 80%
colorthief current:

pywal16/pywal/backends/colorthief.py

Lines 40 to 48 in a5ebec0

	def adjust(cols, light, cols16):
	"""Create palette."""
	cols.sort(key=util.rgb_to_yiq)
	raw_colors = [*cols, *cols]
	for color in raw_colors:
	color = util.lighten_color(color, 0.40)
	raw_colors[0] = util.darken_color(cols[0], 0.80)
	return colors.generic_adjust(raw_colors, light, cols16)

colorthief legacy:

pywal16/pywal/backends/colorthief.py

Lines 39 to 58 in 984c7b6

	def adjust(cols, light):
	"""Create palette."""
	cols.sort(key=util.rgb_to_yiq)
	raw_colors = [*cols, *cols]
	if light:
	raw_colors[0] = util.lighten_color(cols[0], 0.90)
	raw_colors[7] = util.darken_color(cols[0], 0.75)
	else:
	for color in raw_colors:
	color = util.lighten_color(color, 0.40)
	raw_colors[0] = util.darken_color(cols[0], 0.80)
	raw_colors[7] = util.lighten_color(cols[0], 0.60)
	raw_colors[8] = util.lighten_color(cols[0], 0.20)
	raw_colors[15] = raw_colors[7]
	return raw_colors

so my problem right now is not so easy as i have to add a way for backends to do see the 80% darkening of the bg but wal only get the bg darken by 40% and also figure out why even now it does produce a darker bg color with some images.

[niksingh710]

i am currently having 3.5.3 and on wal engine it is still a bit dark.

[eylles]

been testing image by image also checking with a pair of my own, been cobbling a huge detailed post with tables, i got a final for CS61C (well, the cs61c variant at my university) tomorrow so i may be able to post the results of testing on wednesday.

[BEST8OY]

been testing image by image also checking with a pair of my own, been cobbling a huge detailed post with tables, i got a final for CS61C (well, the cs61c variant at my university) tomorrow so i may be able to post the results of testing on wednesday.

Just in case, I'm getting this with wal backend on arch with latest updates.

[best8oy@DIAMOND ~D]$ wal -i RE4wqI5.jpeg
[I] image: Using image RE4wqI5.jpeg.
[I] colors: Generating a colorscheme.
[I] colors: Using wal backend.
Traceback (most recent call last):
  File "/usr/bin/wal", line 33, in <module>
    sys.exit(load_entry_point('pywal16==3.5.3', 'console_scripts', 'wal')())
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/lib/python3.12/site-packages/pywal/__main__.py", line 244, in main
    parse_args(parser)
  File "/usr/lib/python3.12/site-packages/pywal/__main__.py", line 184, in parse_args
    colors_plain = colors.get(image_file, args.l, args.cols16, args.backend,
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/lib/python3.12/site-packages/pywal/colors.py", line 213, in get
    colors = getattr(backend, "get")(img, light, cols16)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/lib/python3.12/site-packages/pywal/backends/wal.py", line 77, in get
    colors = gen_colors(img)
             ^^^^^^^^^^^^^^^
  File "/usr/lib/python3.12/site-packages/pywal/backends/wal.py", line 64, in gen_colors
    return [re.search("#.{6}", str(col)).group(0) for col in raw_colors[1:]]
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
AttributeError: 'NoneType' object has no attribute 'group'

[eylles]

Thanks @BEST8OY please follow the instructions on #48 (comment) and report back there.

[eylles]

okay, so pywal16 and pywal legacy both with the same debug print.

pywal: https://github.com/eylles/pywal/tree/test-cols

pywal16: https://github.com/eylles/pywal16/tree/test-cols

so to compare apples to apples both debug prints are a commit after the release that is currently on pypi. (not really right now as the pywal16 branch was based on 3.5.3)

so let's see, first wiht my current wallaper

pywal:

data from ImageMagick:
[
b'# ImageMagick pixel enumeration: 16,1,255,srgb',
b'0,0: (51.2023,18.5603,22.5564) #331317 srgb(20.0793%,7.27855%,8.84565%)',
b'1,0: (23.7743,23.214,34.0195) #181722 srgb(9.32326%,9.10353%,13.341%)',
b'2,0: (45.9922,27.4008,37.5992) #2E1B26 srgb(18.0362%,10.7454%,14.7448%)',
b'3,0: (47.3541,38.6381,51.821) #2F2734 srgb(18.5702%,15.1522%,20.322%)',
b'4,0: (89.5019,29.8521,32.6109) #5A1E21 srgb(35.0988%,11.7067%,12.7886%)',
b'5,0: (77.1556,40.5409,49.9222) #4D2932 srgb(30.2571%,15.8984%,19.5773%)',
b'6,0: (31.6576,43.0233,66.2451) #202B42 srgb(12.4147%,16.8719%,25.9785%)',
b'7,0: (52.5214,50.9689,73.358) #353349 srgb(20.5966%,19.9878%,28.7678%)',
b'8,0: (78.1673,54.93,71.358) #4E3747 srgb(30.6538%,21.5412%,27.9835%)',
b'9,0: (71.8288,68.1751,81.8249) #484452 srgb(28.1682%,26.7353%,32.0882%)',
b'10,0: (89.9883,78.5953,95.4436) #5A4F5F srgb(35.2895%,30.8217%,37.4289%)',
b'11,0: (152.973,44.7043,43.572) #992D2C srgb(59.9893%,17.5311%,17.0871%)',
b'12,0: (158.782,106.529,104.191) #9F6B68 srgb(62.2675%,41.7762%,40.8591%)',
b'13,0: (223.907,71.1167,65.8249) #E04742 srgb(87.8065%,27.8889%,25.8137%)',
b'14,0: (156.031,124.638,127.794) #9C7D80 srgb(61.1887%,48.8777%,50.1152%)',
b'15,0: (188.21,157.887,161.938) #BC9EA2 srgb(73.8079%,61.9165%,63.505%)'
]

pre-adjust:
[
#331317 ,
#4E3747 ,
#484452 ,
#5A4F5F ,
#992D2C ,
#9F6B68 ,
#E04742 ,
#9C7D80 ,
#BC9EA2 ,
#4E3747 ,
#484452 ,
#5A4F5F ,
#992D2C ,
#9F6B68 ,
#E04742 ,
#9C7D80
]

post-adjust:
[
#1e0b0d ,
#4E3747 ,
#484452 ,
#5A4F5F ,
#992D2C ,
#9F6B68 ,
#E04742 ,
#c5b5b7 ,
#897e80 ,
#4E3747 ,
#484452 ,
#5A4F5F ,
#992D2C ,
#9F6B68 ,
#E04742 ,
#c5b5b7
]

pywal16:

data from ImageMagick:
[
b'# ImageMagick pixel enumeration: 16,1,255,srgb',
b'0,0: (51.2023,18.5603,22.5564) #331317 srgb(20.0793%,7.27855%,8.84565%)',
b'1,0: (23.7743,23.214,34.0195) #181722 srgb(9.32326%,9.10353%,13.341%)',
b'2,0: (45.9922,27.4008,37.5992) #2E1B26 srgb(18.0362%,10.7454%,14.7448%)',
b'3,0: (47.3541,38.6381,51.821) #2F2734 srgb(18.5702%,15.1522%,20.322%)',
b'4,0: (89.5019,29.8521,32.6109) #5A1E21 srgb(35.0988%,11.7067%,12.7886%)',
b'5,0: (77.1556,40.5409,49.9222) #4D2932 srgb(30.2571%,15.8984%,19.5773%)',
b'6,0: (31.6576,43.0233,66.2451) #202B42 srgb(12.4147%,16.8719%,25.9785%)',
b'7,0: (52.5214,50.9689,73.358) #353349 srgb(20.5966%,19.9878%,28.7678%)',
b'8,0: (78.1673,54.93,71.358) #4E3747 srgb(30.6538%,21.5412%,27.9835%)',
b'9,0: (71.8288,68.1751,81.8249) #484452 srgb(28.1682%,26.7353%,32.0882%)',
b'10,0: (89.9883,78.5953,95.4436) #5A4F5F srgb(35.2895%,30.8217%,37.4289%)',
b'11,0: (152.973,44.7043,43.572) #992D2C srgb(59.9893%,17.5311%,17.0871%)',
b'12,0: (158.782,106.529,104.191) #9F6B68 srgb(62.2675%,41.7762%,40.8591%)',
b'13,0: (223.907,71.1167,65.8249) #E04742 srgb(87.8065%,27.8889%,25.8137%)',
b'14,0: (156.031,124.638,127.794) #9C7D80 srgb(61.1887%,48.8777%,50.1152%)',
b'15,0: (188.21,157.887,161.938) #BC9EA2 srgb(73.8079%,61.9165%,63.505%)'
]

pre-adjust:
[
#331317 ,
#181722 ,
#2E1B26 ,
#2F2734 ,
#5A1E21 ,
#4D2932 ,
#202B42 ,
#353349 ,
#4E3747 ,
#484452 ,
#5A4F5F ,
#992D2C ,
#9F6B68 ,
#E04742 ,
#9C7D80 ,
#BC9EA2
]

post-adjust:
[
#1e0b0d ,
#4E3747 ,
#484452 ,
#5A4F5F ,
#992D2C ,
#9F6B68 ,
#E04742 ,
#c6c2c2 ,
#564849 ,
#4E3747 ,
#484452 ,
#5A4F5F ,
#992D2C ,
#9F6B68 ,
#E04742 ,
#c6c2c2
]

the wallaper i was using before

pywal

data from ImageMagick:
[
b'# ImageMagick pixel enumeration: 16,1,255,srgb',
b'0,0: (28.6226,28.1673,49.3969) #1D1C31 srgb(11.2245%,11.046%,19.3713%)',
b'1,0: (83.4903,50.2412,59.7588) #53323C srgb(32.7413%,19.7024%,23.4348%)',
b'2,0: (37.0272,48.7743,80.5603) #253151 srgb(14.5205%,19.1272%,31.5923%)',
b'3,0: (45.2257,71.7315,110.471) #2D486E srgb(17.7356%,28.13%,43.3219%)',
b'4,0: (83.4942,80.8677,105.747) #53516A srgb(32.7428%,31.7128%,41.4694%)',
b'5,0: (167.482,72.6498,70.4241) #A74946 srgb(65.6794%,28.4901%,27.6173%)',
b'6,0: (51.0895,92.5097,141.066) #335D8D srgb(20.0351%,36.2783%,55.3201%)',
b'7,0: (91.5992,108.782,146.113) #5C6D92 srgb(35.9213%,42.6596%,57.2992%)',
b'8,0: (163.16,118.72,141.51) #A3778E srgb(63.9841%,46.5568%,55.494%)',
b'9,0: (102.132,144.101,175.595) #6690B0 srgb(40.0519%,56.5103%,68.8609%)',
b'10,0: (108.895,179.665,210.451) #6DB4D2 srgb(42.7039%,70.457%,82.5299%)',
b'11,0: (153.549,156.187,172.926) #9A9CAD srgb(60.2152%,61.2497%,67.8141%)',
b'12,0: (218.148,170.374,178.245) #DAAAB2 srgb(85.5482%,66.8132%,69.9001%)',
b'13,0: (154.673,180.809,202.156) #9BB5CA srgb(60.6561%,70.9056%,79.2767%)',
b'14,0: (162.455,210.825,225.981) #A2D3E2 srgb(63.7079%,82.6764%,88.6198%)',
b'15,0: (230.004,229.86,233.755) #E6E6EA srgb(90.1976%,90.1411%,91.6686%)'
]

pre-adjust:
[
#1D1C31 ,
#A3778E ,
#6690B0 ,
#6DB4D2 ,
#9A9CAD ,
#DAAAB2 ,
#9BB5CA ,
#A2D3E2 ,
#E6E6EA ,
#A3778E ,
#6690B0 ,
#6DB4D2 ,
#9A9CAD ,
#DAAAB2 ,
#9BB5CA ,
#A2D3E2
]

post-adjust:
[
#11101d ,
#A3778E ,
#6690B0 ,
#6DB4D2 ,
#9A9CAD ,
#DAAAB2 ,
#9BB5CA ,
#c8e0e8 ,
#8c9ca2 ,
#A3778E ,
#6690B0 ,
#6DB4D2 ,
#9A9CAD ,
#DAAAB2 ,
#9BB5CA ,
#c8e0e8
]

pywal16:

data from ImageMagick:
[
b'# ImageMagick pixel enumeration: 16,1,255,srgb',
b'0,0: (28.6226,28.1673,49.3969) #1D1C31 srgb(11.2245%,11.046%,19.3713%)',
b'1,0: (83.4903,50.2412,59.7588) #53323C srgb(32.7413%,19.7024%,23.4348%)',
b'2,0: (37.0272,48.7743,80.5603) #253151 srgb(14.5205%,19.1272%,31.5923%)',
b'3,0: (45.2257,71.7315,110.471) #2D486E srgb(17.7356%,28.13%,43.3219%)',
b'4,0: (83.4942,80.8677,105.747) #53516A srgb(32.7428%,31.7128%,41.4694%)',
b'5,0: (167.482,72.6498,70.4241) #A74946 srgb(65.6794%,28.4901%,27.6173%)',
b'6,0: (51.0895,92.5097,141.066) #335D8D srgb(20.0351%,36.2783%,55.3201%)',
b'7,0: (91.5992,108.782,146.113) #5C6D92 srgb(35.9213%,42.6596%,57.2992%)',
b'8,0: (163.16,118.72,141.51) #A3778E srgb(63.9841%,46.5568%,55.494%)',
b'9,0: (102.132,144.101,175.595) #6690B0 srgb(40.0519%,56.5103%,68.8609%)',
b'10,0: (108.895,179.665,210.451) #6DB4D2 srgb(42.7039%,70.457%,82.5299%)',
b'11,0: (153.549,156.187,172.926) #9A9CAD srgb(60.2152%,61.2497%,67.8141%)',
b'12,0: (218.148,170.374,178.245) #DAAAB2 srgb(85.5482%,66.8132%,69.9001%)',
b'13,0: (154.673,180.809,202.156) #9BB5CA srgb(60.6561%,70.9056%,79.2767%)',
b'14,0: (162.455,210.825,225.981) #A2D3E2 srgb(63.7079%,82.6764%,88.6198%)',
b'15,0: (230.004,229.86,233.755) #E6E6EA srgb(90.1976%,90.1411%,91.6686%)'
]

pre-adjust:
[
#1D1C31 ,
#53323C ,
#253151 ,
#2D486E ,
#53516A ,
#A74946 ,
#335D8D ,
#5C6D92 ,
#A3778E ,
#6690B0 ,
#6DB4D2 ,
#9A9CAD ,
#DAAAB2 ,
#9BB5CA ,
#A2D3E2 ,
#E6E6EA
]

post-adjust:
[
#11101d ,
#A3778E ,
#6690B0 ,
#6DB4D2 ,
#9A9CAD ,
#DAAAB2 ,
#9BB5CA ,
#c3c3c6 ,
#4c4b55 ,
#A3778E ,
#6690B0 ,
#6DB4D2 ,
#9A9CAD ,
#DAAAB2 ,
#9BB5CA ,
#c3c3c6
]

best8boy's wallpaper

pywal:

data from ImageMagick:
[
b'# ImageMagick pixel enumeration: 16,1,255,srgb',
b'0,0: (29.7938,42.8794,41.0778) #1E2B29 srgb(11.6838%,16.8154%,16.1089%)',
b'1,0: (39.0856,54.323,44.0895) #27362C srgb(15.3277%,21.3031%,17.29%)',
b'2,0: (52.4708,76.8016,47.7821) #344D30 srgb(20.5768%,30.1183%,18.7381%)',
b'3,0: (60.4436,99.2568,51.3385) #3C6333 srgb(23.7034%,38.9242%,20.1328%)',
b'4,0: (68.7977,89.1673,48.9027) #455931 srgb(26.9795%,34.9676%,19.1775%)',
b'5,0: (78.8599,109.646,51.2062) #4F6E33 srgb(30.9255%,42.9984%,20.0809%)',
b'6,0: (100.58,120.195,49.3385) #657831 srgb(39.443%,47.1351%,19.3484%)',
b'7,0: (59.4514,87.249,65.1907) #3B5741 srgb(23.3143%,34.2153%,25.565%)',
b'8,0: (88.3191,113.416,68.5331) #587145 srgb(34.6349%,44.477%,26.8757%)',
b'9,0: (98.5875,139.311,53.3619) #638B35 srgb(38.6618%,54.6319%,20.9262%)',
b'10,0: (109.661,141.696,53.9377) #6E8E36 srgb(43.0045%,55.5673%,21.1521%)',
b'11,0: (112.339,146.634,69.6342) #709346 srgb(44.0543%,57.5036%,27.3075%)',
b'12,0: (141.416,165.984,53.2646) #8DA635 srgb(55.4574%,65.0919%,20.8881%)',
b'13,0: (146.074,172.588,77.6459) #92AD4E srgb(57.2839%,67.6814%,30.4494%)',
b'14,0: (179.074,203.265,88.3502) #B3CB58 srgb(70.2251%,79.7116%,34.6471%)',
b'15,0: (195.218,203.381,133.416) #C3CB85 srgb(76.556%,79.7574%,52.3201%)'
]

pre-adjust:
[
#1E2B29 ,
#587145 ,
#638B35 ,
#6E8E36 ,
#709346 ,
#8DA635 ,
#92AD4E ,
#B3CB58 ,
#C3CB85 ,
#587145 ,
#638B35 ,
#6E8E36 ,
#709346 ,
#8DA635 ,
#92AD4E ,
#B3CB58
]

post-adjust:
[
#121918 ,
#587145 ,
#638B35 ,
#6E8E36 ,
#709346 ,
#8DA635 ,
#92AD4E ,
#d0dca3 ,
#919a72 ,
#587145 ,
#638B35 ,
#6E8E36 ,
#709346 ,
#8DA635 ,
#92AD4E ,
#d0dca3
]

pywal16:

data from ImageMagick:
[
b'# ImageMagick pixel enumeration: 16,1,255,srgb',
b'0,0: (29.7938,42.8794,41.0778) #1E2B29 srgb(11.6838%,16.8154%,16.1089%)',
b'1,0: (39.0856,54.323,44.0895) #27362C srgb(15.3277%,21.3031%,17.29%)',
b'2,0: (52.4708,76.8016,47.7821) #344D30 srgb(20.5768%,30.1183%,18.7381%)',
b'3,0: (60.4436,99.2568,51.3385) #3C6333 srgb(23.7034%,38.9242%,20.1328%)',
b'4,0: (68.7977,89.1673,48.9027) #455931 srgb(26.9795%,34.9676%,19.1775%)',
b'5,0: (78.8599,109.646,51.2062) #4F6E33 srgb(30.9255%,42.9984%,20.0809%)',
b'6,0: (100.58,120.195,49.3385) #657831 srgb(39.443%,47.1351%,19.3484%)',
b'7,0: (59.4514,87.249,65.1907) #3B5741 srgb(23.3143%,34.2153%,25.565%)',
b'8,0: (88.3191,113.416,68.5331) #587145 srgb(34.6349%,44.477%,26.8757%)',
b'9,0: (98.5875,139.311,53.3619) #638B35 srgb(38.6618%,54.6319%,20.9262%)',
b'10,0: (109.661,141.696,53.9377) #6E8E36 srgb(43.0045%,55.5673%,21.1521%)',
b'11,0: (112.339,146.634,69.6342) #709346 srgb(44.0543%,57.5036%,27.3075%)',
b'12,0: (141.416,165.984,53.2646) #8DA635 srgb(55.4574%,65.0919%,20.8881%)',
b'13,0: (146.074,172.588,77.6459) #92AD4E srgb(57.2839%,67.6814%,30.4494%)',
b'14,0: (179.074,203.265,88.3502) #B3CB58 srgb(70.2251%,79.7116%,34.6471%)',
b'15,0: (195.218,203.381,133.416) #C3CB85 srgb(76.556%,79.7574%,52.3201%)'
]

pre-adjust:
[
#1E2B29 ,
#27362C ,
#344D30 ,
#3C6333 ,
#455931 ,
#4F6E33 ,
#657831 ,
#3B5741 ,
#587145 ,
#638B35 ,
#6E8E36 ,
#709346 ,
#8DA635 ,
#92AD4E ,
#B3CB58 ,
#C3CB85
]

post-adjust:
[
#121918 ,
#587145 ,
#638B35 ,
#6E8E36 ,
#709346 ,
#8DA635 ,
#92AD4E ,
#c3c5c5 ,
#4d5251 ,
#587145 ,
#638B35 ,
#6E8E36 ,
#709346 ,
#8DA635 ,
#92AD4E ,
#c3c5c5
]

as for niksignh710's images i got them as pngs both are huge, the leaves one is 7.6MB while the other is 27MB

niksignh710's leaves wallpaper

pywal:

data from ImageMagick:
[
b'# ImageMagick pixel enumeration: 16,1,255,srgb',
b'0,0: (31.4864,38.4786,30.8794) #1F261F srgb(12.3476%,15.0896%,12.1096%)',
b'1,0: (34.5837,45.5992,35.3502) #232E23 srgb(13.5622%,17.882%,13.8628%)',
b'2,0: (46.7471,78.9533,47.0078) #2F4F2F srgb(18.3322%,30.9621%,18.4344%)',
b'3,0: (57.4553,98.8171,53.2412) #396335 srgb(22.5315%,38.7518%,20.8789%)',
b'4,0: (69.4553,90.7821,54.9416) #455B37 srgb(27.2374%,35.6008%,21.5457%)',
b'5,0: (71.0156,108.167,58.2179) #476C3A srgb(27.8492%,42.4186%,22.8305%)',
b'6,0: (60.7198,94.0739,65.8171) #3D5E42 srgb(23.8117%,36.8917%,25.8106%)',
b'7,0: (79.7938,114.202,73.393) #507249 srgb(31.2917%,44.7852%,28.7816%)',
b'8,0: (93.7198,117.152,81.07) #5E7551 srgb(36.7529%,45.9419%,31.7922%)',
b'9,0: (140.833,119.992,72.2335) #8D7848 srgb(55.2285%,47.0558%,28.3268%)',
b'10,0: (90.2724,131.125,60.2996) #5A833C srgb(35.4009%,51.4214%,23.6469%)',
b'11,0: (106.475,137.642,86.5564) #6A8A57 srgb(41.7548%,53.9773%,33.9437%)',
b'12,0: (110.195,140.638,95.9611) #6E8D60 srgb(43.2136%,55.1522%,37.6318%)',
b'13,0: (142.607,163.447,111.984) #8FA370 srgb(55.9243%,64.097%,43.9155%)',
b'14,0: (189.553,179.938,116.809) #BEB475 srgb(74.3343%,70.5638%,45.8076%)',
b'15,0: (175.093,187.751,137.782) #AFBC8A srgb(68.6641%,73.6278%,54.0322%)'
]

pre-adjust:
[
#1F261F ,
#5E7551 ,
#8D7848 ,
#5A833C ,
#6A8A57 ,
#6E8D60 ,
#8FA370 ,
#BEB475 ,
#AFBC8A ,
#5E7551 ,
#8D7848 ,
#5A833C ,
#6A8A57 ,
#6E8D60 ,
#8FA370 ,
#BEB475
]

post-adjust:
[
#121612 ,
#5E7551 ,
#8D7848 ,
#5A833C ,
#6A8A57 ,
#6E8D60 ,
#8FA370 ,
#d6d1b1 ,
#95927b ,
#5E7551 ,
#8D7848 ,
#5A833C ,
#6A8A57 ,
#6E8D60 ,
#8FA370 ,
#d6d1b1
]

pywal16:

data from ImageMagick:
[
b'# ImageMagick pixel enumeration: 16,1,255,srgb',
b'0,0: (31.4864,38.4786,30.8794) #1F261F srgb(12.3476%,15.0896%,12.1096%)',
b'1,0: (34.5837,45.5992,35.3502) #232E23 srgb(13.5622%,17.882%,13.8628%)',
b'2,0: (46.7471,78.9533,47.0078) #2F4F2F srgb(18.3322%,30.9621%,18.4344%)',
b'3,0: (57.4553,98.8171,53.2412) #396335 srgb(22.5315%,38.7518%,20.8789%)',
b'4,0: (69.4553,90.7821,54.9416) #455B37 srgb(27.2374%,35.6008%,21.5457%)',
b'5,0: (71.0156,108.167,58.2179) #476C3A srgb(27.8492%,42.4186%,22.8305%)',
b'6,0: (60.7198,94.0739,65.8171) #3D5E42 srgb(23.8117%,36.8917%,25.8106%)',
b'7,0: (79.7938,114.202,73.393) #507249 srgb(31.2917%,44.7852%,28.7816%)',
b'8,0: (93.7198,117.152,81.07) #5E7551 srgb(36.7529%,45.9419%,31.7922%)',
b'9,0: (140.833,119.992,72.2335) #8D7848 srgb(55.2285%,47.0558%,28.3268%)',
b'10,0: (90.2724,131.125,60.2996) #5A833C srgb(35.4009%,51.4214%,23.6469%)',
b'11,0: (106.475,137.642,86.5564) #6A8A57 srgb(41.7548%,53.9773%,33.9437%)',
b'12,0: (110.195,140.638,95.9611) #6E8D60 srgb(43.2136%,55.1522%,37.6318%)',
b'13,0: (142.607,163.447,111.984) #8FA370 srgb(55.9243%,64.097%,43.9155%)',
b'14,0: (189.553,179.938,116.809) #BEB475 srgb(74.3343%,70.5638%,45.8076%)',
b'15,0: (175.093,187.751,137.782) #AFBC8A srgb(68.6641%,73.6278%,54.0322%)'
]

pre-adjust:
[
#1F261F ,
#232E23 ,
#2F4F2F ,
#396335 ,
#455B37 ,
#476C3A ,
#3D5E42 ,
#507249 ,
#5E7551 ,
#8D7848 ,
#5A833C ,
#6A8A57 ,
#6E8D60 ,
#8FA370 ,
#BEB475 ,
#AFBC8A
]

post-adjust:
[
#121612 ,
#5E7551 ,
#8D7848 ,
#5A833C ,
#6A8A57 ,
#6E8D60 ,
#8FA370 ,
#c3c4c3 ,
#4d504d ,
#5E7551 ,
#8D7848 ,
#5A833C ,
#6A8A57 ,
#6E8D60 ,
#8FA370 ,
#c3c4c3
]

niksignh710's abstract wallpaper

pywal:

data from ImageMagick:
[
b'# ImageMagick pixel enumeration: 16,1,255,srgb',
b'0,0: (20.8093,18.9533,13.5331) #15130E srgb(8.16052%,7.43267%,5.30709%)',
b'1,0: (44.9805,24.7977,18.0856) #2D1912 srgb(17.6394%,9.72457%,7.09239%)',
b'2,0: (55.6148,33.9961,26.9144) #38221B srgb(21.8097%,13.3318%,10.5547%)',
b'3,0: (75.5798,27.4669,21.1245) #4C1B15 srgb(29.6391%,10.7713%,8.28412%)',
b'4,0: (101.646,36.2568,28.8444) #66241D srgb(39.8611%,14.2184%,11.3115%)',
b'5,0: (120.148,67.463,58.2646) #78433A srgb(47.1168%,26.4561%,22.8489%)',
b'6,0: (159.206,43.9922,27.7043) #9F2C1C srgb(62.4338%,17.2519%,10.8644%)',
b'7,0: (196.463,57.8016,24.0506) #C43A18 srgb(77.0443%,22.6673%,9.4316%)',
b'8,0: (170.202,73.179,51.0623) #AA4933 srgb(66.746%,28.6976%,20.0244%)',
b'9,0: (208.716,84.7432,39.7471) #D15528 srgb(81.8494%,33.2326%,15.5871%)',
b'10,0: (209.712,85.9689,40.9027) #D25629 srgb(82.24%,33.7133%,16.0403%)',
b'11,0: (174.875,96.4047,84.0272) #AF6054 srgb(68.5786%,37.8058%,32.9519%)',
b'12,0: (204.942,114.732,83.8366) #CD7354 srgb(80.3693%,44.9928%,32.8771%)',
b'13,0: (187.646,130.444,118.977) #BC8277 srgb(73.5866%,51.1543%,46.6575%)',
b'14,0: (207.755,136.44,110.366) #D0886E srgb(81.4725%,53.5058%,43.2807%)',
b'15,0: (203.202,145.097,133.619) #CB9186 srgb(79.6872%,56.9009%,52.3995%)'
]

pre-adjust:
[
#15130E ,
#AA4933 ,
#D15528 ,
#D25629 ,
#AF6054 ,
#CD7354 ,
#BC8277 ,
#D0886E ,
#CB9186 ,
#AA4933 ,
#D15528 ,
#D25629 ,
#AF6054 ,
#CD7354 ,
#BC8277 ,
#D0886E
]

post-adjust:
[
#0c0b08 ,
#AA4933 ,
#D15528 ,
#D25629 ,
#AF6054 ,
#CD7354 ,
#BC8277 ,
#dfbbae ,
#9c8279 ,
#AA4933 ,
#D15528 ,
#D25629 ,
#AF6054 ,
#CD7354 ,
#BC8277 ,
#dfbbae
]

pywal16:

data from ImageMagick:
[
b'# ImageMagick pixel enumeration: 16,1,255,srgb',
b'0,0: (20.8093,18.9533,13.5331) #15130E srgb(8.16052%,7.43267%,5.30709%)',
b'1,0: (44.9805,24.7977,18.0856) #2D1912 srgb(17.6394%,9.72457%,7.09239%)',
b'2,0: (55.6148,33.9961,26.9144) #38221B srgb(21.8097%,13.3318%,10.5547%)',
b'3,0: (75.5798,27.4669,21.1245) #4C1B15 srgb(29.6391%,10.7713%,8.28412%)',
b'4,0: (101.646,36.2568,28.8444) #66241D srgb(39.8611%,14.2184%,11.3115%)',
b'5,0: (120.148,67.463,58.2646) #78433A srgb(47.1168%,26.4561%,22.8489%)',
b'6,0: (159.206,43.9922,27.7043) #9F2C1C srgb(62.4338%,17.2519%,10.8644%)',
b'7,0: (196.463,57.8016,24.0506) #C43A18 srgb(77.0443%,22.6673%,9.4316%)',
b'8,0: (170.202,73.179,51.0623) #AA4933 srgb(66.746%,28.6976%,20.0244%)',
b'9,0: (208.716,84.7432,39.7471) #D15528 srgb(81.8494%,33.2326%,15.5871%)',
b'10,0: (209.712,85.9689,40.9027) #D25629 srgb(82.24%,33.7133%,16.0403%)',
b'11,0: (174.875,96.4047,84.0272) #AF6054 srgb(68.5786%,37.8058%,32.9519%)',
b'12,0: (204.942,114.732,83.8366) #CD7354 srgb(80.3693%,44.9928%,32.8771%)',
b'13,0: (187.646,130.444,118.977) #BC8277 srgb(73.5866%,51.1543%,46.6575%)',
b'14,0: (207.755,136.44,110.366) #D0886E srgb(81.4725%,53.5058%,43.2807%)',
b'15,0: (203.202,145.097,133.619) #CB9186 srgb(79.6872%,56.9009%,52.3995%)'
]

pre-adjust:
[
#15130E ,
#2D1912 ,
#38221B ,
#4C1B15 ,
#66241D ,
#78433A ,
#9F2C1C ,
#C43A18 ,
#AA4933 ,
#D15528 ,
#D25629 ,
#AF6054 ,
#CD7354 ,
#BC8277 ,
#D0886E ,
#CB9186
]

post-adjust:
[
#0c0b08 ,
#AA4933 ,
#D15528 ,
#D25629 ,
#AF6054 ,
#CD7354 ,
#BC8277 ,
#c2c2c1 ,
#484845 ,
#AA4933 ,
#D15528 ,
#D25629 ,
#AF6054 ,
#CD7354 ,
#BC8277 ,
#c2c2c1
]

across my tests the color0 came out the same, tho i did take care of running wal -c between generations of colors, what i did notice is that pywal16 produces a lighter color 7 (and 15) while also producing a darker color 8

for that reason #57 was opened with the corresponding fixes as modifiying the generic adjust function to only darken the color 0 in 40% (to get old pywal behaviour) impacts the other backends that DO depend on the generic adjust giving them an 80% darkening of their color 0.