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Krea 2 Prompting Guide — Posing, Weighting & Styles

Derived from: Krea2_00207_.json (ComfyUI workflow, 20 nodes) Workflow author credited in-file: X / @Zuanfilm (pose system) Cross-referenced against: the official krea-ai/krea-2 prompting docs, Krea's user docs, and the official ComfyUI Krea 2 tutorial. Written: 2026-07-28

---

0. TL;DR

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[CmdletBinding()]
param(
    [switch]$SkipPackageRegistration
)

$ErrorActionPreference = 'Continue'
$scriptPath = $MyInvocation.MyCommand.Path
$scriptDirectory = Split-Path -Parent $scriptPath
$logPath = Join-Path $scriptDirectory ("Fix-XboxApp-{0}.log" -f (Get-Date -Format 'yyyyMMdd-HHmmss'))

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# Force install the NuGet Package Provider
Install-PackageProvider -Name NuGet -Force | Out-Null

# Install the official WinGet client module from the PSGallery
Install-Module -Name Microsoft.WinGet.Client -Force -Repository PSGallery | Out-Null

# Bootstrap and install the WinGet application infrastructure for all users
Repair-WinGetPackageManager -AllUsers

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#!/bin/bash

# Provisioning Script for 24GB VRAM (e.g., A5000, RTX A5000, 3090, 4090)
# Uses LTX-2 FP8 Model (~19GB) + Quantized Text Encoder (~6GB)
# Tries to fit within 24GB VRAM, might swap slightly to system RAM or require strict offloading.

source /venv/main/bin/activate
COMFYUI_DIR=${WORKSPACE}/ComfyUI

APT_PACKAGES=(

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Convert NVIDIA GPU Power (W) → Temperature Sensor for Fan Control

This guide shows how to convert NVIDIA GPU power usage (watts) into a temperature-style sensor that can be used inside Fan Control.

The method works by:

Reading GPU power draw using NVIDIA System Management Interface

Converting watts → percentage of GPU TDP

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Guide: Custom Fan Profile in CoolerControl Based on GPU Power (Watts)

This guide creates a custom file sensor in CoolerControl to base fan curves on GPU power draw (via nvidia-smi), scaled to a fake temperature (0–100°C) for any GPU TDP. Edit TDP value in script for your GPU (e.g., 350W for RTX 3090).

Prerequisites

• NVIDIA GPU with nvidia-smi installed.
• CoolerControl on Linux.
• Run commands as user or sudo where needed.

Step 1: Create Power-to-Temp Script

Create ~/gpu_power_to_temp.sh:

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youtube.com##.ytp-ce-element-show
youtube.com##.ytp-ce-element
youtube.com##.ytp-cards-teaser-text
youtube.com##.ytp-cards-button-icon-default
youtube.com##.annotation-type-text.annotation
youtube.com##.ytp-scroll-min.ytp-pause-overlay
youtube.com###offer-module > .ytd-watch.style-scope
youtube.com##.annotation-type-text.annotation-popup-shape.annotation-shape
youtube.com##.annotation-type-text.annotation-speech-shape.annotation-shape
youtube.com##.annotation-type-text.annotation-popup-shape.annotation-shape:nth-of-type(3)

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# Core PlayStation domains
playstation.com
playstation.net
sonyentertainmentnetwork.com

# Authentication / Account
auth.api.sonyentertainmentnetwork.com
auth.api.sonyentertainmentnetwork.com.edgesuite.net
auth.api.sonyentertainmentnetwork.com.edgekey.net
auth.api.sonyentertainmentnetwork.com.akadns.net

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#!/bin/bash
# Pi-hole + Unbound verification script (for Pi-hole v6)

GREEN="\e[32m"; RED="\e[31m"; YELLOW="\e[33m"; RESET="\e[0m"

ok()   { echo -e "${GREEN}✔ $1${RESET}"; }
fail() { echo -e "${RED}✘ $1${RESET}"; }
warn() { echo -e "${YELLOW}⚠ $1${RESET}"; }

echo -e "\n=== Pi-hole + Unbound Diagnostic ===\n"

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#!/bin/bash

set -euo pipefail

### CONFIG ###
MOD_ZIP=$(ls BiglyBT_*.zip 2>/dev/null | head -n 1)
JRE_URL="https://github.com/adoptium/temurin23-binaries/releases/download/jdk-23.0.2%2B7/OpenJDK23U-jdk_x64_linux_hotspot_23.0.2_7.tar.gz"
INSTALLER_URL="https://files.biglybt.com/installer/BiglyBT_Installer.sh"
BIGLYBT_DIR="${HOME}/biglybt"
JRE_DIR="${BIGLYBT_DIR}/jre"