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: https://github.com/eylles/pywal16/commit/e504c55e70fca7fff4a98bc0c6e460832d9d2662 or here: https://github.com/eylles/pywal16/commit/42efe31c95cad31158a40ab588fc8c198fbb3bc4

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%

https://github.com/eylles/pywal16/blob/a5ebec00befb99e6c3bd84cce9f95005e4e3dbf3/pywal/colors.py#L67-L129

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

https://github.com/eylles/pywal16/blob/984c7b640ea2336df351c87f744104e51ca32970/pywal/backends/wal.py#L57-L81

however not every backend takes nicely to using the new 40% darken of the background as many backends such as: schemer2: https://github.com/eylles/pywal16/blob/984c7b640ea2336df351c87f744104e51ca32970/pywal/backends/schemer2.py#L24 haishoku: https://github.com/eylles/pywal16/blob/984c7b640ea2336df351c87f744104e51ca32970/pywal/backends/haishoku.py#L25-L31 colorz: https://github.com/eylles/pywal16/blob/984c7b640ea2336df351c87f744104e51ca32970/pywal/backends/colorz.py#L31

expect the old adjust function that would darken their background by 80% https://github.com/eylles/pywal16/blob/984c7b640ea2336df351c87f744104e51ca32970/pywal/colors.py#L55-L73

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: https://github.com/eylles/pywal16/blob/a5ebec00befb99e6c3bd84cce9f95005e4e3dbf3/pywal/backends/colorthief.py#L40-L48

colorthief legacy: https://github.com/eylles/pywal16/blob/984c7b640ea2336df351c87f744104e51ca32970/pywal/backends/colorthief.py#L39-L58

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 https://github.com/eylles/pywal16/issues/48#issuecomment-2135468384 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.