Mikubill

import discord
import asyncio
import logging
import logging.handlers
from openai import OpenAI
from discord import app_commands
from discord import Message

KIMITOKEN = ""
DISCORD_BOT_TOKEN = ""

Mikubill

import os
import random
import math, warnings
from copy import deepcopy

import numpy as np
import lightning
import torch
import torch.nn as nn
import torch.nn.functional as F

Mikubill

Mikubill

import sys
import torch
import torch.nn as nn
import torch.nn.functional as F
import clip
import pandas as pd
import hashlib
import numpy
import cv2
from tqdm.auto import tqdm

Mikubill

#
# NAFNet Image Upscaler
# Mikubill, MIT License
#
# Usage:
#   python nafnet.py -i [path_to_images]
#
# Parameters:
#   -m, --model: Specifies the model to use. The default is NAFNet-REDS-width64.
#   -i, --input: Path to the directory containing images to upscale. This parameter is required.

Mikubill

import os
import openai
import gradio as gr

openai.api_key = os.environ['OPENAI_KEY']

supportLanguages = [
    ["auto", "auto"],
    ["粤语", "yue"],
    ["古文", "wyw"],

Mikubill

import os
import json
import openai
import requests
from copy import deepcopy
from datetime import date

today = date.today()

openai.api_key = ""

Mikubill

import os.path
import re
import tempfile
import argparse
import glob
import zipfile
import deepdanbooru as dd
import tensorflow as tf
import numpy as np

Mikubill

'''Simple script to finetune a stable-diffusion model'''

import argparse
import contextlib
import copy
import gc
import hashlib
import itertools
import json
import math

Mikubill

#!/bin/sh

set -e
command_exists() {
	command -v "$@" > /dev/null 2>&1
}

user="$(id -un 2>/dev/null || true)"
# username="neko-$(tr -dc 0-9a-f </dev/urandom | head -c 2)"
# original="$(hostname)"