madebyollin

# ------------------------------------------------------------------
# EDIT: I eventually found a faster way to run SD on macOS, via MPSGraph (~0.8s / step on M1 Pro):
#   https://github.com/madebyollin/maple-diffusion
# The original CoreML-related code & discussion is preserved below :)
# ------------------------------------------------------------------

# you too can run stable diffusion on the apple silicon GPU (no ANE sadly)
#
# quick test portraits (each took 50 steps x 2s / step ~= 100s on my M1 Pro):
# * https://i.imgur.com/5ywISvm.png

IsaacXen

WWDC                                2006  2007  2008  2009
2010 2011 2012 2013 2014 

javiribera

#!/bin/bash

# requires jq
# arg 1: iCloud web album URL
# arg 2: folder to download into (optional)
#
# Credits: https://gist.github.com/zneak/8f719cd81967e0eb2234897491e051ec
# icloud-album-download.sh

function curl_post_json {

brokensandals

<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
  <dict>
    <key>Label</key>
    <string>net.brokensandals.photos.sync.applefromgoogle</string>
    <key>Program</key>
    <string>/Users/jacob/dotfiles/bin/sync-apple-photos-from-google-photos.rb</string>
    <key>StartCalendarInterval</key>
    <array>

marcoarment

/*  parallelize: reads commands from stdin and executes them in parallel.

    The sole argument is the number of simultaneous processes (optional) to
      run. If omitted, the number of logical CPUs available will be used.
    
    Build: gcc -pthread parallelize.c -o parallelize
    
    Demo: (for i in {1..10}; do echo "echo $i ; sleep 5" ; done ) | ./parallelize
    
    By Marco Arment, released into the public domain with no guarantees.