CB terbo

## convert_to_safe.py
# Got a bunch of .ckpt files to convert?
# Here's a handy script to take care of all that for you!
# Original .ckpt files are not touched!
# Make sure you have enough disk space! You are going to DOUBLE the size of your models folder!
#
# First, run:
# pip install torch torchsde==0.2.5 safetensors==0.2.5
#
# Place this file in the **SAME DIRECTORY** as all of your .ckpt files, open a command prompt for that folder, and run:
# python convert_to_safe.py

## convert_diffusers_to_sd.py
# Script for converting a HF Diffusers saved pipeline to a Stable Diffusion checkpoint.
# *Only* converts the UNet, VAE, and Text Encoder.
# Does not convert optimizer state or any other thing.
# Written by jachiam

import argparse
import os.path as osp

import torch

## examples.md

      
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                Code examples of discord.py rewrite
              
          
    discord.py code examples

Preface

Introduction

I am making this gist to show some examples of stuff you can do with discord.py, and also because the amount of up-to-date examples online is rather limited.
This will not be a guide for learning how to use the basics of the wrapper, but merely showing some code to get a better understanding of some of the things discord.py can do. I will therefore assume that anybody looking at this will understand the basics of both python and the wrapper in question.
I will also assume that asyncio, discord.ext commands and discord are installed and imported, and that the commands.Bot instance is stored in the variable bot.

  
## cherrypy-websockets-monitor.py
# To use this, you need to implement some class with a read() method, eg.
#
# class MyReader(object):
#     def __init__(self, path):
#         self.path = path
#
#     def read(self):
#         with open(self.path, 'r') as f:
#             return f.read()
# ...

## .block
license: gpl-3.0

## .block
height: 960
license: gpl-3.0

## .block
height: 960
license: gpl-3.0

## .block
height: 960
license: gpl-3.0
redirect: https://observablehq.com/@mbostock/voronoi-spirals

## .block
license: gpl-3.0
height: 960
redirect: https://observablehq.com/@mbostock/rainbow-pack

## getmonit.py
#!/usr/bin/env python

import requests
import xmltodict
import json
import os
import sys

with open('{0}/.getmonitrc'.format(os.path.expanduser('~'))) as f:
    cf = json.loads(f.read())
	# Got a bunch of .ckpt files to convert?
	# Here's a handy script to take care of all that for you!
	# Original .ckpt files are not touched!
	# Make sure you have enough disk space! You are going to DOUBLE the size of your models folder!
	#
	# First, run:
	# pip install torch torchsde==0.2.5 safetensors==0.2.5
	#
	# Place this file in the SAME DIRECTORY as all of your .ckpt files, open a command prompt for that folder, and run:
	# python convert_to_safe.py
	# Script for converting a HF Diffusers saved pipeline to a Stable Diffusion checkpoint.
	# Only converts the UNet, VAE, and Text Encoder.
	# Does not convert optimizer state or any other thing.
	# Written by jachiam

	import argparse
	import os.path as osp

	import torch
	# To use this, you need to implement some class with a read() method, eg.
	#
	# class MyReader(object):
	# def __init__(self, path):
	# self.path = path
	#
	# def read(self):
	# with open(self.path, 'r') as f:
	# return f.read()
	# ...
	height: 960
	license: gpl-3.0
	redirect: https://observablehq.com/@mbostock/voronoi-spirals
	#!/usr/bin/env python

	import requests
	import xmltodict
	import json
	import os
	import sys

	with open('{0}/.getmonitrc'.format(os.path.expanduser('~'))) as f:
	cf = json.loads(f.read())