Irfan irfanykywz

AI Highlights

March 2023

This emulator seems to have less stability issues than MEMu. I think we get the shtick that these emulators do spooky stuff.

A curated list of awesome Python frameworks, libraries, software and resources.

	import torch
	from diffusers import SanaPipeline,StableDiffusion3Pipeline, FluxPipeline,Transformer2DModel, PixArtSigmaPipeline, AuraFlowPipeline, Kandinsky3Pipeline, LuminaText2ImgPipeline, HunyuanDiTPipeline, LuminaText2ImgPipeline
	from app.sana_pipeline import SanaPipeline
	from torchvision.utils import save_image
	from models import SwittiPipeline
	from onediffusion.diffusion.pipelines.onediffusion import OneDiffusionPipeline

	# FLUX, SD, Aura, Hunay, Sana, Pix Sigma,

	master_prompt = "A serene and emotive scene depicting a college girl weeping under a large, lush tree, with her loyal dog sitting close by, offering comfort. In the background, a small camp is situated , illuminated by the gentle glow of a campfire around which several people are gathered, sitting on benches and engaging in quiet conversation. The setting is in a forest clearing, during twilight, with the sky painted in soft shades of pink and blue, creating a tranquil yet poignant atmosphere,"

	from moviepy.editor import VideoFileClip, TextClip, CompositeVideoClip
	import whisper_timestamped as whisper

	filename = "example.mp4"

	screen_width = 1080
	screen_height = 1920

	def get_transcribed_text(filename):
	audio = whisper.load_audio(filename)

	# Dependencies: pip install opencv-python-headless pytesseract numpy

	import cv2
	import pytesseract
	import matplotlib.pyplot as plt

	# Path to Tesseract executable (change this according to your installation)
	pytesseract.pytesseract.tesseract_cmd = r'C:\Program Files (x86)\Tesseract-OCR\tesseract.exe'

	def capture_and_parse_text():

	#!/bin/bash
	# =========================================================================
	# Source: https://gist.github.com/lucaspar/27f5e108b80524b315be10b2a9049817
	# =========================================================================
	# This script will compile and install a static FFmpeg build with
	# support for NVENC in Ubuntu. Developed in Ubuntu 23.10,
	# with NVIDIA Drivers v535.129.03 and CUDA v12.2 with a GPU
	# with CUDA capability 8.6 (RTX 3080) (see ccap below).
	# It assumes NVIDA drivers are installed and that you have a
	# CUDA-compatible GPU. You can check installed drivers with:

	from PIL import Image
	from scipy.ndimage import gaussian_filter
	import numpy
	import pytesseract
	from PIL import ImageFilter

	def solve_captcha(filename):
	# thresold1 on the first stage
	th1 = 140
	th2 = 140 # threshold after blurring

	#!/usr/bin/env python3
	# -- coding: utf-8 --

	from PyQt6.QtCore import QUrl
	from PyQt6.QtWidgets import QApplication, QMainWindow, QWidget
	from PyQt6.QtWebEngineWidgets import QWebEngineView #, QWebEngineSettings
	from os import path

	class MainWindow(QMainWindow):
	def __init__(self):

	<?php
	const PASSPHRASE = ''; // use 'openssl rand -hex 32' to generate key, same with python

	function encrypt(array $data): string
	{
	$data_json_64 = base64_encode(json_encode($data));
	$secret_key = hex2bin(PASSPHRASE);
	$iv = openssl_random_pseudo_bytes(openssl_cipher_iv_length('aes-256-gcm'));
	$tag = '';
	$encrypted_64 = openssl_encrypt($data_json_64, 'aes-256-gcm', $secret_key, 0, $iv, $tag);