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Stable Diffusion model conversion script

Convert from the 'original implementation' to Huggingface diffusers. Both .safetensors and .ckpt checkpoints are supported.

The script is adapted from the diffusers conversion script: https://github.com/huggingface/diffusers/blob/main/scripts/convert_original_stable_diffusion_to_diffusers.py

Usage:

python enhanced_convert_original_stable_diffusion_to_diffusers.py --checkpoint_path "<input_model_filepath>" --dump_path "<output_directory_path>" --extract_ema

For inference use, extracting with --extract_ema is usually recommended. This will be ignored if the source model does not contain both EMA and non-EMA weights.

Lecture 1: Introduction to Research — [📝Lecture Notebooks] [▶️Video]
Lecture 2: Introduction to Python — [📝Lecture Notebooks] [▶️Video]
Lecture 3: Introduction to NumPy — [📝Lecture Notebooks] [▶️Video]
Lecture 4: Introduction to pandas — [📝Lecture Notebooks] [▶️Video]
Lecture 5: Plotting Data — [📝Lecture Notebooks] [[▶️Vide

Steam Download Speed is so slow on Linux

Oh boi, here I give you the solution for that. This document is based on these links:

TLDR

My solution seems to be deprecated, there are other solution from the comment on this Gist, that actually works. So, please use that instead, it's way much simpler, and it works.

	connect25lovylmq.onion <-- blackbook a privacy based social network

	sejnfjrq6szgca7v.onion <---- Tor mirror of Debian.org

	pugljpwjhbiagkrn.onion <-- Debian manpages

	7b42twezybs23hrr.onion <--- linux.sh terminal based file shareing utility

	74ypjqjwf6oejmax.onion <-- Beneath VT, Exploring Virginia Tech's steam tunnels and beyond

	// ==UserScript==
	// @name Acesso Rápido Agendas
	// @namespace https://www.linkedin.com/in/edufgimenez/
	// @version 2.0
	// @description Cria botões de acesso rápido para as últimas e penúltimas agendas de Desenvolvimento de Sistemas, Comunicação, Tecnologia da Informação e PTCC
	// @author Eduardo Gimenez
	// @match https://eadtec.cps.sp.gov.br/home.php
	// @grant none
	// ==/UserScript==

	-- This script will:
	-- (1) Flatten each group into a layer;
	-- (2) Invoke the 'export sprite sheet' command;
	-- (3) Undo the changes.
	--
	-- v1.0: Initial version.
	--
	-- Ref: https://github.com/aseprite/aseprite/blob/main/src/app/commands/cmd_export_sprite_sheet.cpp

	local spr = app.activeSprite

	module.exports = {
	config: {
	// default font size in pixels for all tabs
	fontSize: 20,

	// font family with optional fallbacks
	fontFamily: 'Menlo, "DejaVu Sans Mono", Consolas, "Lucida Console", monospace',

	// terminal cursor background color and opacity (hex, rgb, hsl, hsv, hwb or cmyk)
	cursorColor: 'rgba(248,28,229,0.8)',

	[
	{ "code": "aa", "name": "Afar" },
	{ "code": "ab", "name": "Abkhazian" },
	{ "code": "ae", "name": "Avestan" },
	{ "code": "af", "name": "Afrikaans" },
	{ "code": "ak", "name": "Akan" },
	{ "code": "am", "name": "Amharic" },
	{ "code": "an", "name": "Aragonese" },
	{ "code": "ar", "name": "Arabic" },
	{ "code": "as", "name": "Assamese" },

	import Anthropic from '@anthropic-ai/sdk';
	import { Glob } from 'bun';

	export const anthropic = new Anthropic({
	apiKey: process.env.ANTHROPIC_KEY
	});

	const glob = new Glob("./txt/*.txt");

	type Page = {

	using UnityEngine;
	using TMPro;

	// NOTE: Make sure to include the following namespace wherever you want to access Leaderboard Creator methods
	using Dan.Main;

	namespace LeaderboardCreatorDemo
	{
	public class LeaderboardManager : MonoBehaviour
	{