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tss by ShimmerFromMagix

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AuthorShimmerFromMagix

LicenseNo License

Categorydiscord.com

Created

Updated

Size3.4 MB

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Description

ts

Notes

st

Source code

Source code has over 10K characters, so we truncated it. You can inspect the full source code on install link. 
/* ==UserStyle==
@name         DTM-16
@version      20241020.23.27
@namespace    https://userstyles.world/user/ErikaXGH
@description  Turns your website look like in 2016. Credits to the original theme: https://betterdiscord.app/theme/DTM-16
@author       ErikaXGH
@license      BetterDiscord
==/UserStyle== */

@-moz-document url-prefix("https://discord.com/") {
:root {
  --showRtcConnectionStatusIcon: block;
  /* Show: block | Hide: none | show the vc ping/status icon */
  --jumboEmojiSize: 3rem;
  /* Old: 2rem | New: 3rem | size of jumbo emojis */
  --channelBarWidth: 2px;
  /* 2015: 4px | 2016: 2px | changes width of the blurple bar to the left of selected channels */
  --animateReactions: 0;
  /* 0: Don't | 1: Do (kinda buggy, use at own risk) */
}

.socialLinks_c44e94:before {
  display: block;
  font-size: 12px;
  white-space: pre-wrap;
  color: var(--text-muted);
  content: "DTM-16 Build " "591" "\a" "Jan 24, 2025";
}

.theme-dark, .theme-light {
  --font-primary: Whitney,gg sans,"Helvetica Neue",Helvetica,Arial,sans-serif!important;
  --font-display: Whitney,gg sans,"Helvetica Neue",Helvetica,Arial,sans-serif!important;
  --font-code: Consolas,"Liberation Mono",Menlo,Courier,monospace;
  --text-positive: var(--green);
  --status-danger: var(--red);
  --status-danger-text: var(--red);
  --status-positive: var(--green);
  --staus-warning-text: var(--yellow);
  --info-danger-text: var(--red);
  --info-positive-text: var(--green);
  --text-danger: var(--red);
  --badge-hypesquad: hsl(34.7, calc(var(--saturation-factor, 1) * 94.3%), 58.6%);
  --badge-partner: hsl(215.4, calc(var(--saturation-factor, 1) * 82.8%), 59%);
  --badge-bug-hunter: hsl(152.6, calc(var(--saturation-factor, 1) * 46%), 48.6%);
  --blurple: hsl(226.7, calc(var(--saturation-factor, 1) * 58.4%), 65.1%);
  --blurple-st: hsl(226.7, calc(var(--saturation-factor, 1) * 58.4%), 65.1%, 0.5);
  --blurple-hover: hsl(227.1, calc(var(--saturation-factor, 1) * 44.1%), 58.6%);
  --blurple-active: hsl(226.3, calc(var(--saturation-factor, 1) * 33.9%), 52%);
  --blurple-inverted: hsl(228, calc(var(--saturation-factor, 1) * 55.6%), 98.2%);
  --blurple-inverted-active: hsl(228.6, calc(var(--saturation-factor, 1) * 60%), 93.1%);
  --v-blurple: 226.7, calc(var(--saturation-factor, 1) * 58.4%), 65.1%;
  --red: hsl(0, calc(var(--saturation-factor, 1) * 84.9%), 61%);
  --red-hover: hsl(0, calc(var(--saturation-factor, 1) * 66.1%), 54.9%);
  --red-active: hsl(0, calc(var(--saturation-factor, 1) * 54.2%), 48.8%);
  --red-inverted: hsl(0, calc(var(--saturation-factor, 1) * 80%), 98%);
  --red-inverted-active: hsl(0, calc(var(--saturation-factor, 1) * 85%), 92.2%);
  --yellow: hsl(37.5, calc(var(--saturation-factor, 1) * 95.7%), 54.1%);
  --yellow-hover: hsl(37.4, calc(var(--saturation-factor, 1) * 81.5%), 48.6%);
  --yellow-inverted: hsl(38.2, calc(var(--saturation-factor, 1) * 100%), 97.8%);
  --yellow-inverted-active: hsl(37.3, calc(var(--saturation-factor, 1) * 95.7%), 90.8%);
  --green: hsl(152.6, calc(var(--saturation-factor, 1) * 46%), 48.6%);
  --green-hover: hsl(152.6, calc(var(--saturation-factor, 1) * 46.2%), 43.7%);
  --green-active: hsl(152.3, calc(var(--saturation-factor, 1) * 45.7%), 39%);
  --green-inverted: hsl(156, calc(var(--saturation-factor, 1) * 38.5%), 97.5%);
  --green-inverted-active: hsl(153.9, calc(var(--saturation-factor, 1) * 43.4%), 89.6%);
  --brand-experiment-100: hsl(228, calc(var(--saturation-factor, 1) * 55.6%), 98.2%);
  --brand-experiment-130: hsl(228, calc(var(--saturation-factor, 1) * 62.5%), 96.9%);
  --brand-experiment-160: hsl(228, calc(var(--saturation-factor, 1) * 60%), 95.1%);
  --brand-experiment-200: hsl(228.6, calc(var(--saturation-factor, 1) * 60%), 93.1%);
  --brand-experiment-230: hsl(226.7, calc(var(--saturation-factor, 1) * 57.4%), 90.8%);
  --brand-experiment-260: hsl(225.9, calc(var(--saturation-factor, 1) * 58.6%), 88.6%);
  --brand-experiment-300: hsl(226.8, calc(var(--saturation-factor, 1) * 57.7%), 86.1%);
  --brand-experiment-330: hsl(226.9, calc(var(--saturation-factor, 1) * 59.1%), 81.8%);
  --brand-experiment-360: hsl(227.3, calc(var(--saturation-factor, 1) * 57.9%), 77.6%);
  --brand-experiment-400: hsl(226.3, calc(var(--saturation-factor, 1) * 58%), 72%);
  --brand-experiment-430: hsl(226.5, calc(var(--saturation-factor, 1) * 58.2%), 70%);
  --brand-experiment-460: hsl(226.9, calc(var(--saturation-factor, 1) * 58.5%), 67.8%);
  --brand-experiment: var(--blurple);
  --brand-experiment-500: hsl(226.7, calc(var(--saturation-factor, 1) * 58.4%), 65.1%);
  --brand-experiment-530: hsl(226.6, calc(var(--saturation-factor, 1) * 45.2%), 59.2%);
  --brand-experiment-560: hsl(226.6, calc(var(--saturation-factor, 1) * 35.3%), 52.7%);
  --brand-experiment-600: hsl(227.1, calc(var(--saturation-factor, 1) * 31%), 44.3%);
  --brand-experiment-630: hsl(226.2, calc(var(--saturation-factor, 1) * 31.3%), 38.2%);
  --brand-experiment-660: hsl(226.4, calc(var(--saturation-factor, 1) * 31%), 33.5%);
  --brand-experiment-700: hsl(226.8, calc(var(--saturation-factor, 1) * 30.8%), 26.1%);
  --brand-experiment-730: hsl(227.7, calc(var(--saturation-factor, 1) * 31.2%), 24.5%);
  --brand-experiment-760: hsl(226.7, calc(var(--saturation-factor, 1) * 31.6%), 22.4%);
  --brand-experiment-800: hsl(226.5, calc(var(--saturation-factor, 1) * 31.3%), 19.4%);
  --brand-experiment-830: hsl(225, calc(var(--saturation-factor, 1) * 31.6%), 14.9%);
  --brand-experiment-860: hsl(225, calc(var(--saturation-factor, 1) * 32%), 9.8%);
  --brand-experiment-900: hsl(228, calc(var(--saturation-factor, 1) * 29.4%), 3.3%);
  --brand-experiment-05a: hsl(226.7, calc(var(--saturation-factor, 1) * 58.4%), 65.1%, 0.05);
  --brand-experiment-10a: hsl(226.7, calc(var(--saturation-factor, 1) * 58.4%), 65.1%, 0.1);
  --brand-experiment-15a: hsl(226.7, calc(var(--saturation-factor, 1) * 58.4%), 65.1%, 0.15);
  --brand-experiment-20a: hsl(226.7, calc(var(--saturation-factor, 1) * 58.4%), 65.1%, 0.2);
  --brand-experiment-25a: hsl(226.7, calc(var(--saturation-factor, 1) * 58.4%), 65.1%, 0.25);
  --brand-experiment-30a: hsl(226.7, calc(var(--saturation-factor, 1) * 58.4%), 65.1%, 0.3);
  --brand-experiment-35a: hsl(226.7, calc(var(--saturation-factor, 1) * 58.4%), 65.1%, 0.35);
  --brand-experiment-40a: hsl(226.7, calc(var(--saturation-factor, 1) * 58.4%), 65.1%, 0.4);
  --brand-experiment-45a: hsl(226.7, calc(var(--saturation-factor, 1) * 58.4%), 65.1%, 0.45);
  --brand-experiment-50a: hsl(226.7, calc(var(--saturation-factor, 1) * 58.4%), 65.1%, 0.5);
  --brand-experiment-55a: hsl(226.7, calc(var(--saturation-factor, 1) * 58.4%), 65.1%, 0.55);
  --brand-experiment-60a: hsl(226.7, calc(var(--saturation-factor, 1) * 58.4%), 65.1%, 0.6);
  --brand-experiment-65a: hsl(226.7, calc(var(--saturation-factor, 1) * 58.4%), 65.1%, 0.65);
  --brand-experiment-70a: hsl(226.7, calc(var(--saturation-factor, 1) * 58.4%), 65.1%, 0.7);
  --brand-experiment-75a: hsl(226.7, calc(var(--saturation-factor, 1) * 58.4%), 65.1%, 0.75);
  --brand-experiment-80a: hsl(226.7, calc(var(--saturation-factor, 1) * 58.4%), 65.1%, 0.8);
  --brand-experiment-85a: hsl(226.7, calc(var(--saturation-factor, 1) * 58.4%), 65.1%, 0.85);
  --brand-experiment-90a: hsl(226.7, calc(var(--saturation-factor, 1) * 58.4%), 65.1%, 0.9);
  --brand-experiment-95a: hsl(226.7, calc(var(--saturation-factor, 1) * 58.4%), 65.1%, 0.95);
  --control-brand-foreground: var(--blurple);
  --control-brand-foreground-new: var(--blurple);
  --scrollbar-auto-thumb: var(--scrollbar-thumb-color) !important;
  --scrollbar-thin-thumb: var(--scrollbar-thumb-color) !important;
  --modal-background: var(--background-primary);
  --profile-banner-background-pattern: url("data:image/png;base64,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...

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