Update 5.1.1

This commit is contained in:
Iván Eduardo Chavez Ayub
2025-12-31 23:47:43 -06:00
parent 141f6df906
commit 08a897e38f
20 changed files with 2148 additions and 1171 deletions
+655 -236
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@@ -1,102 +1,261 @@
\documentclass[a4paper,11pt]{article}
\documentclass[a4paper,11pt,oneside]{report}
% =========================================================
% PACKAGES & CONFIGURATION
% 1. OPTIMIZED PACKAGES & CORE CONFIG
% =========================================================
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% Slightly wider margins for a modern tech doc feel, tall header space
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% --- TYPOGRAPHY & MICRO-OPTIMIZATION ---
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\usepackage[most]{tcolorbox} % 'most' loads advanced skins, breakable, etc.
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% =========================================================
% WARLOCK STUDIO BRANDING COLORS (From Source Code)
% 2. BRANDING COLOR PALETTE (MODERNIZED)
% =========================================================
\definecolor{WarlockBg}{HTML}{0A0A0A} % Main Background
\definecolor{WarlockRed}{HTML}{D41C1C} % Accent Red
\definecolor{WarlockGold}{HTML}{FDEF2F} % Accent Gold
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% Core Brand Colors (Preserved)
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\definecolor{WarlockGold}{HTML}{FFA000} % Slightly warmer Gold
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\definecolor{WarlockGray}{HTML}{757575} % Neutral Gray
\definecolor{WarlockSuccess}{HTML}{388E3C} % Professional Green
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% Functional UI Colors for the Document
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% Header and Footer
% Hyperlinks Setup
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citecolor=WarlockGray,
pdftitle={Warlock-Studio v5.1.1 Master Manual},
pdfauthor={Ivan-Ayub97}
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% =========================================================
% 3. ADVANCED STYLING MACROS
% =========================================================
% --- HEADER & FOOTER ARCHITECTURE ---
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% Hyperlink Setup
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linkcolor=WarlockRed,
filecolor=magenta,
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pdftitle={Warlock-Studio Manual},
% --- LISTINGS & CODE ---
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% --- LIST STYLES ---
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% =========================================================
% DOCUMENT CONTENT
% =========================================================
@@ -105,227 +264,487 @@
% --- COVER PAGE ---
\begin{titlepage}
\begin{center}
\vspace*{2cm}
\includegraphics[width=0.4\textwidth]{logo.png}\\[1cm]
\pagecolor{WarlockBg}
\color{WarlockText}
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% Subtle Technical Background Pattern
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{\Huge \textbf{WARLOCK-STUDIO}}\\[0.5cm]
{\Large \textit{AI Upscaling \& Interpolation Suite}}\\[0.2cm]
{\large Version 5.1}
\begin{center}
\vspace*{4cm}
% Logo Area with Glow Effect - MODIFIED TO USE logo.png
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% The glowing container circle
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{\sffamily\bfseries\fontsize{36}{36}\selectfont WARLOCK-STUDIO} \\[0.5cm]
{\sffamily\Large\textcolor{WarlockGray}{\textit{The Comprehensive AI Media Enhancement Suite}}} \\[1.5cm]
{\sffamily\bfseries\fontsize{24}{30}\selectfont MASTER OPERATING MANUAL} \\[0.5cm]
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\centering
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Architecture \ $\cdot$ \ Workflows \ $\cdot$ \ Troubleshooting \ $\cdot$ \ Advanced Config}
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\vfill
\textbf{Developed by Ivan-Ayub97}\\
\today
\begin{flushright}
\sffamily\small
\textbf{Author:} Ivan-Ayub97 \\
\textcolor{WarlockGray}{Generated for Documentation Purposes} \\
\today
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\tableofcontents
% --- TABLE OF CONTENTS ---
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\newpage
% ---------------------------------------------------------
% SECTION 1: INTRODUCTION
% ---------------------------------------------------------
\section{Introduction}
Warlock-Studio is a comprehensive GUI application designed for AI-driven image and video enhancement. It integrates state-of-the-art neural networks to perform Upscaling, Denoising, Face Restoration, and Frame Interpolation.
% =========================================================
% CHAPTER 1: THE CORE PHILOSOPHY
% =========================================================
\chapter{The Core Philosophy}
Built on Python, CustomTkinter, and ONNX Runtime, Warlock-Studio optimizes hardware resources (CPU and GPU) to deliver great results.
\section{What is Warlock-Studio?}
Warlock-Studio is not just an "app"; it is an \textbf{AI Orchestrator}.
\begin{infobox}{System Requirements}
In the world of AI, processing a single image or video involves dozens of complex steps: managing memory buffers, tiling large images to fit in VRAM, extracting frames, running neural network inference (ONNX), and re-encoding video streams.
Warlock-Studio automates this entire pipeline. It acts as a bridge between high-performance libraries (OpenCV, MoviePy, ONNX Runtime) and the user, providing a "Drag \& Drop" experience for industrial-grade tasks.
\section{Capabilities at a Glance}
\begin{itemize}
\item \textbf{OS:} Windows 10/11 (x64)
\item \textbf{RAM:} Minimum 8GB (16GB+ recommended)
\item \textbf{GPU:} NVIDIA (CUDA), AMD/Intel (DirectML), or CPU (Slow fallback)
\item \textbf{Dependencies:} FFmpeg (included in assets), Visual C++ Redistributable.
\end{itemize}
\end{infobox}
% ---------------------------------------------------------
% SECTION 2: INTERFACE & USAGE
% ---------------------------------------------------------
\section{Interface Overview & Usage}
The interface is divided into functional blocks designed for a linear workflow: \textit{Load $\rightarrow$ Configure $\rightarrow$ Process}.
\subsection{1. Input Section}
Located on the left side (or top, depending on layout), this area handles file ingestion.
\begin{itemize}
\item \textbf{Drag \& Drop:} You can drag images or videos directly onto the window.
\item \textbf{Manual Select:} Clicking the button opens a file dialog.
\item \textbf{File List:} Selected files appear in a scrollable list showing resolution, duration, and calculated output resolution based on current settings.
\end{itemize}
\subsection{2. AI Configuration}
This is the core control panel.
\begin{description}
\item[AI Model:] Selects the neural network architecture (see Chapter 3).
\item[AI Multithreading:] Controls how many frames are processed simultaneously.
\item \textbf{Upscaling:} Increasing resolution while adding detail (up to 8K+).
\item \textbf{Restoration:} Removing noise (Denoising) and fixing broken faces (GFPGAN).
\item \textbf{FluidFrames (Interpolation):} Generating new frames to make video smoother (30fps $\to$ 60fps).
\item \textbf{Smart Rendering:}
\begin{itemize}
\item \textit{Recommendation:} Set to "2 threads" for mid-range GPUs. Use "OFF" (1 thread) for high-resolution upscaling (4K) to save VRAM.
\end{itemize}
\item[Frame Generation (RIFE):] Only active when RIFE models are selected. Interpolates frames to increase smoothness (e.g., 30fps $\rightarrow$ 60fps).
\end{description}
\subsection{3. Hardware & Performance}
\begin{itemize}
\item \textbf{GPU Selection:} Choose specific GPU or "Auto".
\item \textbf{VRAM Limiter:} \textbf{Crucial Setting.} This defines the tile size for processing.
\begin{itemize}
\item \textit{Integrated Graphics:} Set to 2GB or lower.
\item \textit{Dedicated GPU (e.g., RTX 3060):} Set to match your card's VRAM (e.g., 6GB-8GB).
\item \textbf{Tiling Engine:} Processes images larger than your GPU memory.
\item \textbf{Auto-Fallback:} Automatically switches to CPU encoding if GPU encoding fails.
\item \textbf{Resume System:} Crashed during a 2-hour render? Warlock resumes from the exact frame.
\end{itemize}
\end{itemize}
\begin{tipbox}{Tiling Technology}
Warlock-Studio uses "Tiling". If an image is too large for VRAM, it splits the image into small squares, processes them, and merges them back. The \textbf{VRAM Limiter} controls the size of these squares.
\end{tipbox}
\subsection{4. Resolution Control}
\begin{itemize}
\item \textbf{Input Resolution \%:} Downscales the image \textit{before} AI processing. Useful for speeding up 4K video processing (e.g., set to 50\%).
\item \textbf{Output Resolution \%:} Downscales the image \textit{after} AI processing.
\end{itemize}
\subsection{5. Output Settings}
\begin{itemize}
\item \textbf{Image Ext:} PNG (Lossless), JPG (Fast), BMP/TIFF (Uncompressed).
\item \textbf{Video Ext:} MP4, MKV, AVI, MOV.
\item \textbf{Video Codec:}
\begin{itemize}
\item \textbf{x264/x265:} CPU Encoding (High quality, slow).
\item \textbf{NVENC:} NVIDIA Hardware (Fast).
\item \textbf{AMF:} AMD Hardware.
\item \textbf{QSV:} Intel Hardware.
\end{itemize}
\end{itemize}
% ---------------------------------------------------------
% SECTION 3: AI MODELS EXPLAINED
% ---------------------------------------------------------
\newpage
\section{AI Models Library}
Warlock-Studio includes varied models optimized for specific scenarios. Use this table to choose the right tool.
\section{System Requirements Matrix}
Strict adherence to these requirements ensures stability.
\begin{table}[h!]
\centering
\renewcommand{\arraystretch}{1.3}
\begin{tabularx}{\textwidth}{|l|l|X|}
\hline
\rowcolor{WarlockDark} \textcolor{white}{\textbf{Category}} & \textcolor{white}{\textbf{Model Name}} & \textcolor{white}{\textbf{Best Use Case}} \\ \hline
\multirow{2}{*}{\textbf{Denoising}} & IRCNN\_Mx1 & Removing grain/noise without changing resolution. Fast. \\
& IRCNN\_Lx1 & Heavier denoising for very grainy sources. \\ \hline
\multirow{2}{*}{\textbf{Anime / Art}} & RealESR\_Animex4 & \textbf{Best for Cartoons/Anime.} Removes compression artifacts and sharpens lines. \\
& RealESR\_Gx4 & General purpose fast upscaling. \\ \hline
\multirow{4}{*}{\textbf{Realistic}} & BSRGANx4 & \textbf{Best for Real World video.} Adds texture and realistic details. \\
& BSRGANx2 & 2x version of above. Slightly faster. \\
& RealESRGANx4 & Good balance between sharpness and texture. \\
& RealESRNetx4 & Smoother look, less texture hallucination. \\ \hline
\textbf{Faces} & GFPGAN & \textbf{Face Restoration.} Miraculous recovery of blurry/small faces. \\ \hline
\textbf{Interpolation} & RIFE / Lite & Increasing Frame Rate (30$\rightarrow$60fps). Creates intermediate frames. \\ \hline
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\begin{tabularx}{\textwidth}{l l X}
\toprule
\rowcolor{WarlockPanel} \textbf{\textcolor{WarlockGold}{Component}} & \textbf{\textcolor{WarlockText}{Minimum}} & \textbf{\textcolor{WarlockText}{Recommended}} \\
\midrule
\textbf{OS} & Windows 10 (64-bit) & Windows 11 (64-bit) \\
\textbf{CPU} & Quad-Core (i5/Ryzen 5) & 8-Core+ (i7/Ryzen 7) for fast encoding \\
\textbf{RAM} & 8 GB & \textbf{16 GB - 32 GB} (Crucial for 4K video) \\
\textbf{GPU} & Integrated (Vega/Intel HD) & \textbf{NVIDIA RTX 3060} (or equivalent) with 8GB+ VRAM \\
\textbf{Storage} & HDD (Slow) & \textbf{NVMe SSD} (Required for high-speed frame extraction) \\
\textbf{Libraries} & Visual C++ Redist. & Latest GPU Drivers \\
\bottomrule
\end{tabularx}
\caption{Warlock-Studio Model Reference Guide}
\caption{Hardware Compatibility Specification}
\end{table}
\subsection*{When NOT to use certain models:}
% =========================================================
% CHAPTER 2: ANATOMY OF THE INTERFACE
% =========================================================
\chapter{Anatomy of the Interface}
This chapter breaks down every pixel of the GUI. Warlock-Studio uses a \textbf{"Top-Down"} workflow design.
\section{1. The Input Manager (File Queue)}
Located on the left/top. It has two modes:
\subsection{A. The Drop Zone}
When empty, it shows a large "Drag \& Drop" area. It accepts:
\begin{itemize}
\item Do \textbf{not} use \textit{RealESR\_Animex4} on realistic photos; it will make skin look like plastic (oil painting effect).
\item Do \textbf{not} use \textit{GFPGAN} on non-human subjects or high-quality faces (it might alter facial features slightly).
\item \textbf{Images:} \texttt{.jpg, .png, .bmp, .tiff, .webp}
\item \textbf{Videos:} \texttt{.mp4, .mkv, .avi, .mov, .webm}
\end{itemize}
% ---------------------------------------------------------
% SECTION 4: WORKFLOW DIAGRAMS
% ---------------------------------------------------------
\section{Process Workflows}
\subsection{B. The Active Queue}
Once files are added, it transforms into a list. Each card displays:
\begin{itemize}
\item \textbf{Thumbnail:} Visual verification of the file.
\item \textbf{Meta-Info:} Resolution, Duration, FPS, File Size.
\item \textbf{Projection:} A dynamic calculation showing:
\[ \text{Input Res} \xrightarrow{\text{Input \%}} \text{AI Input} \xrightarrow{\text{Upscale}} \text{AI Output} \xrightarrow{\text{Output \%}} \text{Final Res} \]
\end{itemize}
\subsection{Video Upscaling Pipeline}
Understanding the internal process helps in troubleshooting speed issues.
\begin{tipbox}{Queue Secrets}
Use the \faArrowUp\ button to prioritize urgent files. Use the \faTimes\ button to remove files. Warlock processes files \textbf{sequentially} (top to bottom).
\end{tipbox}
\vspace{0.5cm}
\section{2. The Toolbar (Global Tools)}
Floating in the top right:
\begin{itemize}
\item \textbf{\faBook\ Manual:} Opens this specific PDF document.
\item \textbf{\faCog\ Preferences:} Opens the \texttt{warlock\_preferences} window (See Chapter 6).
\end{itemize}
\section{3. The Control Panel (The Brain)}
This is where you program the logic for the batch.
\subsection{Row 1: AI Model Selection}
The dropdown list contains categorized models. (See Chapter 3 for details).
\subsection{Row 2: Contextual Action (Blending vs. Frame Gen)}
This menu changes dynamically based on the AI Model selected.
\begin{itemize}
\item \textbf{Scenario A: Upscaling Model Selected}
\begin{itemize}
\item \textbf{Menu:} \textit{AI Blending}
\item \textbf{Function:} Mixes the original image with the AI result to recover natural texture/grain.
\item \textbf{Values:} OFF (0\%), Low (30\%), Medium (50\%), High (70\%).
\end{itemize}
\item \textbf{Scenario B: RIFE (Interpolation) Selected}
\begin{itemize}
\item \textbf{Menu:} \textit{Frame Generation}
\item \textbf{Function:} Determines how many new frames to create.
\item \textbf{Values:} x2 (Double FPS), x4 (Quadruple FPS), Slowmotion (Increase frames but slow playback).
\end{itemize}
\end{itemize}
\subsection{Row 3: AI Multithreading}
\textbf{Function:} Controls how many video frames are processed in parallel.
\begin{itemize}
\item \textbf{OFF (1 Thread):} Safest. Essential for 4K video or low-VRAM GPUs.
\item \textbf{2 Threads:} Sweet spot for 1080p video on mid-range GPUs.
\item \textbf{4-8 Threads:} High VRAM usage. Only for RTX 3090/4090 processing SD content.
\end{itemize}
\subsection{Row 4: Resolution Orchestration}
\begin{itemize}
\item \textbf{Input Resolution \%:} Downscales \textit{before} AI.
\item \textbf{Output Resolution \%:} Downscales \textit{after} AI.
\end{itemize}
\subsection{Row 5: Hardware Limits (The Safety Valve)}
\begin{itemize}
\item \textbf{GPU Selection:} Choose specific card or "Auto".
\item \textbf{VRAM Limiter (GB):} \textbf{CRITICAL.} This defines the maximum tile size.
\end{itemize}
\section{4. The Integrated Console (The Voice)}
New in v5.1.1. It provides a live feed of the backend operations.
\begin{itemize}
\item \textcolor{WarlockSuccess}{\textbf{[SUCCESS]}}: Task completed.
\item \textcolor{WarlockBlue}{\textbf{[INFO]}}: Progress updates (e.g., "Extracting frames 45\%").
\item \textcolor{WarlockRed}{\textbf{[ERROR]}}: Critical failures (e.g., "Out of Memory").
\item \textbf{[FFMPEG]}: Raw encoding logs from the video engine.
\end{itemize}
% =========================================================
% CHAPTER 3: THE MODEL LIBRARY
% =========================================================
\chapter{The Model Library: A Field Guide}
Warlock-Studio includes a curated selection of ONNX models. Using the wrong model for the task is the \#1 cause of poor results.
\begin{table}[h!]
\centering
\sffamily\small
\renewcommand{\arraystretch}{1.4}
\setlength{\tabcolsep}{10pt}
\rowcolors{1}{DocHeaderBg}{white}
\begin{tabularx}{\textwidth}{l l X X}
\toprule
\rowcolor{WarlockPanel}
\textbf{\textcolor{WarlockGold}{Model}} &
\textbf{\textcolor{WarlockText}{Type}} &
\textbf{\textcolor{WarlockText}{BEST Use Case}} &
\textbf{\textcolor{WarlockText}{DO NOT Use When...}} \\
\midrule
\textbf{RealESR\_Animex4} & Upscale (x4) & \textbf{2D Animation, Cartoons, Line Art.} Removes compression artifacts perfectly. & Input is a real photograph. It will turn skin into "plastic" or "oil paint". \\
\textbf{RealESR\_Gx4} & Upscale (x4) & \textbf{General Purpose.} Good balance for art and clean photos. & Input is extremely noisy or grainy. \\
\textbf{BSRGANx4} & Upscale (x4) & \textbf{Real World Video.} Adds realistic texture. Handles blur and JPEG compression well. & You need a perfectly clean, noiseless image (it generates grain). \\
\textbf{BSRGANx2} & Upscale (x2) & Same as above, but faster. Ideal for 1080p $\to$ 4K. & Same as above. \\
\textbf{RealESRGANx4} & Upscale (x4) & \textbf{Text \& Logos.} Extremely sharp edges. & Input contains faces (might look over-sharpened). \\
\textbf{IRCNN\_M|Lx1} & Denoise (x1) & \textbf{Cleaning.} Removing noise before upscaling. & You want to increase resolution (it stays at x1). \\
\textbf{GFPGAN} & Restoration & \textbf{Faces.} Restores eyes/mouths in blurry photos. & Image has no faces, or faces are already high quality (it might alter identity). \\
\textbf{RIFE|RIFELite} & Interpolation & \textbf{Smoothing Video.} Increasing frame rate. & You want to increase resolution/sharpness. \\
\bottomrule
\end{tabularx}
\caption{Comprehensive Model Usage Matrix}
\end{table}
% =========================================================
% CHAPTER 4: ADVANCED CONCEPTS
% =========================================================
\chapter{Advanced Concepts (The Engine Room)}
\section{Tiling: How to Process 8K on a 2GB Card}
\begin{conceptbox}{What is Tiling?}
Neural networks require massive amounts of memory. Processing a 4K image in one go might require 12GB of VRAM.
\textbf{The Solution:} Warlock-Studio chops the image into smaller squares (Tiles), processes each square individually, and stitches them back together seamlessly.
The \textbf{GPU VRAM (GB)} setting controls the size of these squares.
\begin{itemize}
\item \textbf{High Setting (e.g., 8GB):} Large tiles. Fewer tiles to process. Faster speed.
\item \textbf{Low Setting (e.g., 2GB):} Small tiles. More tiles to process. Slower, but **impossible to crash**.
\end{itemize}
\end{conceptbox}
\section{Auto-Fallback Encoding}
Video encoding is prone to driver failures. Warlock-Studio implements a "Self-Healing" mechanism.
\begin{itemize}
\item \textbf{Attempt 1:} The user selects a Hardware Encoder (e.g., \texttt{h264\_nvenc}).
\item \textbf{Failure:} The GPU driver crashes or is busy.
\item \textbf{Detection:} Warlock detects the non-zero exit code from FFmpeg.
\item \textbf{Attempt 2 (Auto):} The system immediately switches to \texttt{libx264} (CPU Encoder).
\item \textbf{Result:} The video renders successfully (albeit slower), preventing a "wasted night" of rendering.
\end{itemize}
% =========================================================
% CHAPTER 5: WORKFLOWS
% =========================================================
\chapter{Workflows}
\section{FluidFrames (RIFE Integration)}
RIFE (Real-Time Intermediate Flow Estimation) works differently from Upscalers.
\begin{figure}[H]
\centering
\begin{tikzpicture}[node distance=2cm, auto]
\node (frame1) [startstop, width=2.8cm] {Frame 1};
\node (frame2) [startstop, right of=frame1, xshift=5.5cm, width=2.8cm] {Frame 2};
\node (ai) [process, below of=frame1, xshift=3.75cm, width=4cm] {\sffamily\bfseries RIFE AI Analysis};
\node (newframe) [decision, below of=ai, yshift=-0.5cm] {Generate Frame 1.5};
\draw [arrow] (frame1.south) -- (ai.north);
\draw [arrow] (frame2.south) -- (ai.north);
\draw [arrow] (ai.south) -- (newframe.north);
% Modern dashed indicator
\draw [arrow, dashed, draw=WarlockBlue, line width=1.5pt] (newframe.east) -- ++(2,0) node[right, text width=2.5cm, align=left, font=\sffamily\small\color{WarlockBlue}] {Inserted seamlessly between 1 \& 2};
\end{tikzpicture}
\caption{RIFE Logic: Creating frames from thin air}
\end{figure}
\section{The Video Upscaling Pipeline}
\begin{center}
\begin{tikzpicture}[node distance=1.5cm]
\tikzstyle{startstop} = [rectangle, rounded corners, minimum width=3cm, minimum height=1cm,text centered, draw=black, fill=WarlockRed!30]
\tikzstyle{process} = [rectangle, minimum width=3cm, minimum height=1cm, text centered, draw=black, fill=WarlockGold!30]
\tikzstyle{decision} = [diamond, minimum width=3cm, minimum height=1cm, text centered, draw=black, fill=blue!10]
\tikzstyle{arrow} = [thick,->,>=stealth]
\begin{tikzpicture}[node distance=1.8cm, every node/.style={font=\sffamily\footnotesize}]
% Define a local style for this specific chart
\tikzset{pipe_arrow/.style={arrow, draw=WarlockGray!60, line width=2pt}}
\node (in) [startstop] {Input Video};
\node (extract) [process, below of=in] {Extract Frames (FFmpeg)};
\node (resize1) [process, below of=extract] {Input Resize \%};
\node (ai) [process, below of=resize1] {AI Inference (ONNX)};
\node (blend) [decision, below of=ai, yshift=-0.5cm] {Blending?};
\node (merge) [process, below of=blend, yshift=-0.5cm] {Merge Upscale + Original};
\node (encode) [process, below of=merge] {Encode Video (FFmpeg)};
\node (out) [startstop, below of=encode] {Output Video};
\node (start) [startstop] {User Clicks Start};
\node (check) [decision, below of=start, yshift=-0.2cm] {Is Video?};
\draw [arrow] (in) -- (extract);
\draw [arrow] (extract) -- (resize1);
\draw [arrow] (resize1) -- (ai);
\draw [arrow] (ai) -- (blend);
\draw [arrow] (blend) -- node[anchor=east] {Yes} (merge);
\draw [arrow] (blend.east) -- ++(1,0) |- node[anchor=south] {No} (encode.east);
\draw [arrow] (merge) -- (encode);
\draw [arrow] (encode) -- (out);
% Image Path
\node (img) [process, right of=check, xshift=4.5cm] {Process Image (Single Step)};
% Video Path
\node (extract) [process, below of=check, yshift=-0.8cm] {Extract Frames (FFmpeg)};
% Main Loop Container
\begin{scope}[on background layer]
\node[rectangle, draw=WarlockGold!50, dashed, line width=2pt, rounded corners=10pt, fill=WarlockGold!5, fit=(extract)(resize)(model)(blend)(save), label={[anchor=north west, font=\sffamily\bfseries\color{WarlockGold!80!black}, xshift=10pt, yshift=-5pt]Processing Loop}] (loopbox) {};
\end{scope}
\node (loop) [process, below of=extract] {Loop Through Frames};
\node (resize) [process, below of=loop] {Resize Input \%};
\node (model) [process, below of=resize, top color=WarlockRed!5, bottom color=WarlockRed!15, draw=WarlockRed!50] {\bfseries AI Inference (Tiling)};
\node (blend) [process, below of=model] {Blend / Post-Process};
\node (save) [process, below of=blend] {Save Temp Frame};
\node (checkdone) [decision, right of=save, xshift=4.5cm] {More Frames?};
\node (encode) [process, below of=save, yshift=-1cm] {Encode Video (FFmpeg)};
\node (done) [startstop, below of=encode] {Task Complete};
% Connections
\draw [pipe_arrow] (start) -- (check);
\draw [pipe_arrow] (check) -- node[above] {\textbf{No}} (img);
\draw [pipe_arrow] (check) -- node[right] {\textbf{Yes}} (extract);
\draw [pipe_arrow] (extract) -- (loop);
\draw [pipe_arrow] (loop) -- (resize);
\draw [pipe_arrow] (resize) -- (model);
\draw [pipe_arrow] (model) -- (blend);
\draw [pipe_arrow] (blend) -- (save);
\draw [pipe_arrow] (save) -- (checkdone);
% Loop back arrow
\draw [pipe_arrow, rounded corners=15pt] (checkdone.north) |- node[near start, right] {\textbf{Yes}} ($(loop.east)+(0.5,0)$) -- (loop.east);
\draw [pipe_arrow] (checkdone.south) |- node[near start, right] {\textbf{No}} (encode.east);
\draw [pipe_arrow] (encode) -- (done);
\end{tikzpicture}
\end{center}
% ---------------------------------------------------------
% SECTION 5: TROUBLESHOOTING
% ---------------------------------------------------------
\newpage
\section{Troubleshooting & Error Codes}
% =========================================================
% CHAPTER 6: PREFERENCES (THE GEAR MENU)
% =========================================================
\chapter{Preferences \& Configuration}
The integrated console (bottom of the app) provides real-time logs. Here are common errors and fixes.
The \texttt{warlock\_preferences.py} module handles persistent settings.
\subsection{Common Runtime Errors}
\begin{table}[h!]
\centering
\begin{tabularx}{\textwidth}{|l|X|}
\hline
\rowcolor{WarlockRed} \textcolor{white}{\textbf{Error / Symptom}} & \textcolor{white}{\textbf{Solution}} \\ \hline
\textbf{CUDA / Out of Memory} & The AI model requires more VRAM than available. \newline \textbf{Fix:} Lower the "GPU VRAM" setting (e.g., set to 2). Lower "AI Multithreading" to OFF. \\ \hline
\textbf{FFmpeg not found} & The application cannot process video/audio. \newline \textbf{Fix:} Ensure \texttt{ffmpeg.exe} is in the \texttt{Assets/} folder. \\ \hline
\textbf{Gray/Black Output} & Often caused by incompatible Video Codecs. \newline \textbf{Fix:} Switch output codec to \texttt{x264} (Software) or check GPU driver updates. \\ \hline
\textbf{Process Stops Immediately} & File path issue. \newline \textbf{Fix:} Avoid special characters or emojis in filenames/folders. Move files to a simple path like \texttt{C:/Upscale/}. \\ \hline
\textbf{DLL Load Failed} & Missing Visual C++ dependencies. \newline \textbf{Fix:} Install latest MSVC Redistributable. \\ \hline
\end{tabularx}
\end{table}
\begin{warningbox}{Checkpoint Recovery}
If the app crashes during a long video upscale, \textbf{do not delete the temporary folder}. Warlock-Studio will detect the processed frames and resume from where it left off automatically upon restarting the same job.
\end{warningbox}
\subsection{Performance Tuning Tips}
\section{General Tab}
\begin{itemize}
\item \textbf{Slow Speed?} Ensure "Process Priority" in Preferences is set to "High". Check if you are using CPU instead of GPU (Console will say \texttt{CPUExecutionProvider}).
\item \textbf{Low Quality?} Try disabling "Blending" (set to OFF). Increase "Input Resolution \%" to 100.
\item \textbf{Glitchy Video?} If using Interpolation (RIFE), scene changes might look weird. This is a limitation of current AI flow generation.
\item \textbf{App Theme:} Switch between Dark, Light, or System.
\item \textbf{UI Scaling:} Essential for 4K monitors (Set to 125\%).
\item \textbf{Window Opacity:} Aesthetic transparency.
\item \textbf{Auto-Close:} Shuts down the app after the queue finishes.
\end{itemize}
% ---------------------------------------------------------
% SECTION 6: PREFERENCES
% ---------------------------------------------------------
\section{Preferences Menu}
Accessible via the \faCog\ icon in the top right.
\section{Performance Tab}
\begin{itemize}
\item \textbf{App Theme:} Switch between Dark/Light modes.
\item \textbf{ONNX Provider:} Force specific backend (CUDA vs DirectML). \textit{Auto} is recommended.
\item \textbf{Clean Temp Files:} Removes leftover \texttt{.tmp} files and frame folders from crashed sessions.
\item \textbf{Extended Logging:} Enables detailed debug logs for error reporting.
\item \textbf{ONNX Provider:}
\begin{itemize}
\item \textit{Auto:} Recommended.
\item \textit{CUDA:} Forces NVIDIA acceleration.
\item \textit{DirectML:} Forces AMD/Intel acceleration.
\item \textit{CPU:} Debug mode (Slow).
\end{itemize}
\item \textbf{Process Priority:} Increases the Windows priority of the FFmpeg subprocess.
\end{itemize}
\vspace{2cm}
\section{Integrations Tab}
Allows manual definition of paths for \texttt{ffmpeg.exe} and \texttt{exiftool.exe} if the auto-detection in \texttt{Assets/} fails.
\section{Logs \& Maintenance}
\begin{itemize}
\item \textbf{Clean Temp Files:} A "Panic Button" to clear disk space. Deletes all \texttt{*.tmp}, \texttt{*.checkpoint}, and temporary frame folders.
\item \textbf{Export Debug Zip:} Compresses all logs and config files into a ZIP to share with the developer for bug reporting.
\end{itemize}
% =========================================================
% CHAPTER 7: TROUBLESHOOTING GUIDE (THE MECHANIC)
% =========================================================
\chapter{Troubleshooting \& Solutions}
This section covers 90\% of user reports.
\section{Crash Scenarios}
\begin{scenariobox}{Crash: "Out of Memory" / "Allocation Failed"}
\textbf{Symptoms:} The app closes instantly or the console turns red with memory errors.
\textbf{Cause:} The AI is trying to create a Tile larger than available VRAM.
\textbf{Solution:}
\begin{enumerate}
\item Set \textbf{AI Multithreading} to \textbf{OFF}.
\item Lower \textbf{GPU VRAM (GB)} setting (e.g., from 4 to 2).
\item Reduce \textbf{Input Resolution \%} (e.g., to 75\%).
\end{enumerate}
\end{scenariobox}
\begin{scenariobox}{Crash: "Timeout Detection Recovery (TDR)"}
\textbf{Symptoms:} The screen flickers, goes black for a second, and the app reports an error.
\textbf{Cause:} Windows reset the GPU driver because a single tile took too long to process.
\textbf{Solution:} Lower the \textbf{GPU VRAM (GB)} setting drastically (e.g., to 1 or 2). Smaller tiles process faster, preventing the timeout.
\end{scenariobox}
\begin{scenariobox}{Stuck: "Extracting Frames..."}
\textbf{Symptoms:} The progress bar doesn't move for minutes.
\textbf{Cause:} The input video is huge (e.g., a 2-hour movie) or stored on a slow HDD.
\textbf{Solution:} Be patient. Check the "Temp" folder in your file explorer to see if PNG files are being created. Move source files to an SSD.
\end{scenariobox}
\section{Quality Issues}
\begin{scenariobox}{Result: "Oily" or "Plastic" Faces}
\textbf{Cause:} Using \texttt{RealESR\_Animex4} on real photos.
\textbf{Solution:} Switch to \texttt{RealESR\_Gx4} or \texttt{BSRGANx4}.
\end{scenariobox}
\begin{scenariobox}{Result: Weird artifacts in Video Motion}
\textbf{Cause:} RIFE Interpolation struggles with scene cuts (sudden changes in camera).
\textbf{Solution:} This is a limitation of current AI tech. Try \texttt{RIFE\_Lite} which is sometimes less aggressive.
\end{scenariobox}
\section{The Checkpoint System}
\begin{dangerbox}{Do NOT delete Temp Files!}
If Warlock-Studio crashes at frame 1500 of 2000:
\begin{enumerate}
\item Re-open the app.
\item Load the \textbf{exact same video}.
\item Choose the \textbf{exact same settings}.
\item Click Start.
\end{enumerate}
The system will detect the existing frames and verify the \texttt{.checkpoint} file. It will output: \texttt{[INFO] Resuming video upscaling...} and start at frame 1501.
\end{dangerbox}
% =========================================================
% CHAPTER 8: CREDITS
% =========================================================
\chapter*{Credits}
\addcontentsline{toc}{chapter}{Credits}
\begin{minipage}{0.55\textwidth}
\sffamily
\section*{Development Team}
\textbf{Lead Developer:} Ivan-Ayub97 \\
\section*{Core Technologies Stack}
We stand on the shoulders of giants.
\begin{itemize}
\item \textbf{UI Framework:} \textit{CustomTkinter} (TomSchimansky)
\item \textbf{AI Inference Engine:} \textit{ONNX Runtime} (Microsoft)
\item \textbf{Computer Vision:} \textit{OpenCV}
\item \textbf{Video Processing Backbone:} \textit{FFmpeg}
\end{itemize}
\end{minipage}
\hfill
\begin{minipage}{0.4\textwidth}
\begin{tcolorbox}[mkui_card, interior style={fill=DocHeaderBg}, borderline west={4pt}{0pt}{WarlockGray}]
\centering
\color{DocInk}
\sffamily
\faCodeBranch \ \ \textbf{Open Source Philosophy} \\
\vspace{0.5em}
\footnotesize
Licensed under MIT. \\
Collaboration drives innovation.
\end{tcolorbox}
\end{minipage}
\vfill
\begin{center}
\textit{Warlock-Studio is an open-source tool. \\ Thank you for using it.}
\sffamily
\textcolor{WarlockGray!50}{\rule{0.7\linewidth}{1pt}} \\
\vspace{0.8cm}
\textcolor{WarlockGray}{\textit{Warlock-Studio v5.1.1 | Engineering Documentation}}
\end{center}
\end{document}