venetanji

@echo off
setlocal EnableExtensions EnableDelayedExpansion

echo ============================================================
echo Comfy install (winget) + CUDA checks
echo ============================================================

REM --- Magnet link placeholder ---
REM Replace with the actual magnet you want to open after qBittorrent install.
REM Keep it quoted; the script uses PowerShell to avoid cmd escaping issues.

venetanji

$ErrorActionPreference = 'Stop'

function Write-Section([string]$Message) {
	Write-Host "\n== $Message ==" -ForegroundColor Cyan
}

function Refresh-Path {
	$machinePath = [System.Environment]::GetEnvironmentVariable('Path', 'Machine')
	$userPath = [System.Environment]::GetEnvironmentVariable('Path', 'User')
	$env:Path = "$machinePath;$userPath"

venetanji

# PolyU Bad Weather Arrangements: The Pseudocode Adventure!

def polyu_bad_weather(signal, time_lowered_or_cancelled):
    """
    signal: "T8" (Typhoon Signal No. 8 or higher), "RED", "BLACK", "EXTREME"
    time_lowered_or_cancelled: time (in 24hr, e.g., 6.30, 10.45, 12.00)
    """
    
    # During these signals, campus is a ghost town!
    if signal in ["T8", "RED", "BLACK", "EXTREME"]:

venetanji

from typing import Type
import websocket #NOTE: websocket-client (https://github.com/websocket-client/websocket-client)
import uuid
import json
import urllib.request
import urllib.parse

from crewai.tools import BaseTool
from pydantic import BaseModel, Field
from datetime import datetime

venetanji

from diffusers import StableDiffusionControlNetPipeline, ControlNetModel, LCMScheduler, AutoencoderTiny
import numpy as np
import torch
import cv2
from PIL import Image

# load control net and stable diffusion v1-5
controlnet = ControlNetModel.from_pretrained("lllyasviel/sd-controlnet-canny", torch_dtype=torch.float16)
pipe = StableDiffusionControlNetPipeline.from_pretrained(
    "lykon/dreamshaper-8-lcm", controlnet=controlnet, torch_dtype=torch.float16, safety_checker = None

venetanji

#!/bin/bash

# Step 0: Ensure .cache and .local link are symlinks
if [ ! -L ~/.cache ]; then
    # create the directory if it doesn't exist
    mkdir -p /vast/${USER}/.cache
    ln -s /vast/${USER}/.cache ~/.cache
fi

if [ ! -L ~/.local ]; then

venetanji

# Define the installation path
INSTALL_PATH="/vast/${USER}/comfyui/"

# create directory if it doesn't exist
mkdir -p "${INSTALL_PATH}"

# create comfyui_models.txt if it doesn't exist
if [ ! -f "${INSTALL_PATH}/comfyui_models.txt" ]; then
    # get the default modles file from gist: https://gist.githubusercontent.com/venetanji/7be194b3f943ff0597fa11f37d14fc1b/raw/881b73837a643db008fc13f503464a746b931eb5/comfyui_models.txt
    curl -s https://gist.githubusercontent.com/venetanji/7be194b3f943ff0597fa11f37d14fc1b/raw/881b73837a643db008fc13f503464a746b931eb5/comfyui_models.txt > "${INSTALL_PATH}/comfyui_models.txt"

venetanji

# Stable Cascade

#https://huggingface.co/stabilityai/stable-cascade/resolve/main/comfyui_checkpoints/stable_cascade_stage_c.safetensors
#  dir=models/checkpoints
#  out=stable_cascade_stage_c.safetensors
#https://huggingface.co/stabilityai/stable-cascade/resolve/main/comfyui_checkpoints/stable_cascade_stage_b.safetensors
#  dir=models/checkpoints
#  out=stable_cascade_stage_b.safetensors
#https://huggingface.co/stabilityai/stable-cascade/resolve/main/controlnet/canny.safetensors
#  dir=models/controlnet

venetanji

import sys
import numpy as np
import cv2 as cv
import NDIlib as ndi
import re
import asyncio
from pythonosc import udp_client
from facenet_pytorch import MTCNN
from hsemotion.facial_emotions import HSEmotionRecognizer
import torch

venetanji

import cv2
import asyncio
import time
# open camera and get video capture object
cap = cv2.VideoCapture(0, cv2.CAP_DSHOW)
# set camera resolution
cap.set(cv2.CAP_PROP_FRAME_WIDTH, 1280)
cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 720)
size=10
cap.set(cv2.CAP_PROP_BUFFERSIZE,size)