arcanite24

#!/usr/bin/env python
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#

arcanite24

import argparse
from pathlib import Path
from diffusers import DiffusionPipeline
import torch
from safetensors.torch import save_file

# First, set up the argument parser
parser = argparse.ArgumentParser(description="Process some integers.")
parser.add_argument("input_file", type=str, help="The input safe-tensors file")
parser.add_argument("output_file", type=str, help="The output safe-tensors file")

arcanite24

import json
import os

# Replace 'your_folder_path' with the path to the directory containing your .png and .txt files
folder_path = 'datasets/pixel-art-xl-lite-v1'
output_jsonl_filename = 'datasets/pixel-art-xl-lite-v1/metadata.jsonl'

# List all files in the directory
files = os.listdir(folder_path)

arcanite24

{
  "last_node_id": 47,
  "last_link_id": 63,
  "nodes": [
    {
      "id": 7,
      "type": "CLIPTextEncode",
      "pos": [
        317,
        352

arcanite24

function sumaMultiplos3y5() {
  var suma = 0;
  for (var i = 0; i < 1000; i++) {
    if (i % 3 == 0 || i % 5 == 0) {
      suma += i;
    }
  }
  return suma;
}

arcanite24

function sumaMultiplos3y5() {
  var suma = 0;
  for (var i = 0; i < 1000; i++) {
    if (i % 3 == 0 && i % 5 == 0) {
      suma += i;
    }
  }
  return suma;
}