David Russell russdb

This script will gather the extensions currently installed for VSCodium and update them from marketplace.visualstudio.com automatically.

Packages defined under $SKIP are ignored.
Old extension folders are removed before the update is installed.

Why?

open-vsx.org doesn't get updated very quickly, if at all
it's "illegal" to use the VS Marketplace as the extension source in non-M$ products

Install Disco Diffusion v5 for Windows

NOTE: Pytorch3d no longer has to be compiled i have stripped out the function we use to make this a lot easier and also so we do not have to use WSL2 with linux and can now run directly on your windows system.

Comments section is not checked often for issues please join the disco diffusion discord for assistance

https://discord.gg/mK4AneuycS

You may now use the official disco diffusion notebook with this tutorial as it has been uodated to reflect the changes here for better cross platform support

VQGAN-CLIP Install Guide

Windows

Create a folder on your PC, cd into that folder, and type the follow commands

git clone https://github.com/openai/CLIP

git clone https://github.com/CompVis/taming-transformers

pip install ftfy regex tqdm omegaconf pytorch-lightning ipywidgets pillow IPython

`vs` Questions

http://stackoverflow.com/questions/804115 (rebase vs merge).
https://www.atlassian.com/git/tutorials/merging-vs-rebasing (rebase vs merge)
https://www.atlassian.com/git/tutorials/undoing-changes/ (reset vs checkout vs revert)
http://stackoverflow.com/questions/2221658 (HEAD^ vs HEAD~) (See git rev-parse)
http://stackoverflow.com/questions/292357 (pull vs fetch)
http://stackoverflow.com/questions/39651 (stash vs branch)
http://stackoverflow.com/questions/8358035 (reset vs checkout vs revert)

	import Database from 'better-sqlite3';
	import { createDatabaseClient } from './proxy.ts';

	// 1) Create an in-memory DB and your table(s).
	const db = new Database(':memory:');
	db.exec(`
	CREATE TABLE users (
	id TEXT PRIMARY KEY,
	data JSON
	);

	import math
	from moviepy.editor import concatenate, ImageClip
	import os
	import platform
	import subprocess
	import random
	import torch
	# pip install pytorch-pretrained-biggan
	from pytorch_pretrained_biggan import (BigGAN, truncated_noise_sample, convert_to_images)
	import numpy as np


	/*
	##Device = Desktops
	##Screen = 1281px to higher resolution desktops
	*/

	@media (min-width: 1281px) {

	/* CSS */