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# Download
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### Get Warlock-Studio Installer
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<p align="center">
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<img src="https://img.shields.io/badge/build-Stable_Release-blue?style=for-the-badge" alt="Build Status">
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<img src="https://img.shields.io/badge/%20Version-3.0--07.25-darkred?style=for-the-badge" alt="Version 3.0-07.25">
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</p>
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You can download the installer (latest version **2.2**) from any of this platforms:
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AI Media Enhancement Suite
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**Warlock-Studio** is a powerful, open-source desktop application for Windows that integrates state-of-the-art AI models for video and image enhancement. Inspired by the work of [Djdefrag](https://github.com/Djdefrag) on tools like **QualityScaler** and **FluidFrames**, this suite provides a unified, high-performance interface for upscaling, restoration, and frame interpolation.
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Version 3.0 marks a major evolution, introducing **AI-powered face restoration**, a completely modernized user interface, and significant performance optimizations to deliver professional-grade results to everyone.
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---
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### ► Download Installer (v3.0)
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Get the latest stable release from any of the following platforms:
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<table>
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<tr>
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<td align="center">
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<a href="https://github.com/Ivan-Ayub97/Warlock-Studio/releases/download/v2.2/Warlock-Studio2.2Setup.zip" target="_blank">
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<td align="center" width="33%">
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<a href="https://github.com/Ivan-Ayub97/Warlock-Studio/releases/latest" target="_blank">
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<img src="rsc/GitHub_Lockup_Light.png" alt="Download from GitHub" width="200" />
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</a>
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<td align="center">
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</td>
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<td align="center" width="33%">
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<a href="https://sourceforge.net/p/warlock-studio/"><img alt="Download Warlock-Studio" src="https://sourceforge.net/sflogo.php?type=18&group_id=3880091" width=200></a>
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</a>
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</td>
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<td align="center">
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<a href="https://drive.google.com/file/d/1nqlBuxZKsk3FX_nWUqUnDUKUTfMSfjB4/view?usp=sharing">
|
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<td align="center" width="33%">
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<a href="https://drive.google.com/file/d/1m_YKY612EaMiYyxJDRj1WsCmcJnCSKC7/view?usp=sharing">
|
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<img src="rsc/google_drive-logo.png" alt="Download from Google Drive" />
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</a>
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</td>
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</a>
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</td>
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</tr>
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</table>
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---
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||||
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### AI-Powered Media Enhancement & Upscaling Suite 2.2
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**Warlock-Studio** is a powerful **open-source desktop application** inspired by the remarkable work of [Djdefrag](https://github.com/Djdefrag), integrating tools like **QualityScaler**, **RealScaler**, and **FluidFrames**. Built with performance and usability in mind, Warlock-Studio brings together the best of these technologies into a unified and user-friendly interface.
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---
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It features integration with state-of-the-art models for upscaling, restoration, and frame interpolation—all within an intuitive and streamlined user interface. Warlock-Studio delivers **professional-grade media processing** capabilities to everyone.
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Version 2.2 introduces critical improvements focused on reliability and performance:
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- **Comprehensive Logging System** for easier debugging.
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- **Proactive Environment Validation** to prevent common errors.
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- **Resilient Video Encoding** with automatic codec and audio fallbacks.
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- **Aggressive Memory Management** and dynamic GPU VRAM recovery to handle long processing tasks without crashing.
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---
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## Interface Previews
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### 🔹 Main
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### 🔹 RIFE (Frame Interpolation) Options
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---
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## Key Features
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- **State-of-the-Art AI Models**
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Real-ESRGAN, SRGAN, BSRGAN, IRCNN, Waifu2x, Anime4K, **RIFE**, and others for denoising, resolution enhancement, detail restoration, and smooth frame interpolation.
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A comprehensive suite including Real-ESRGAN, BSRGAN, IRCNN, **GFPGAN**, and **RIFE** for denoising, resolution enhancement, detail restoration, and smooth frame interpolation.
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- **AI Face Restoration (New in v3.0)**
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Restore and enhance faces in old, blurry, or low-quality photos and videos with the integrated GFPGAN model, bringing cherished memories back to life.
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- **AI Frame Interpolation & Slow Motion**
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Generate new in-between frames using RIFE to create smooth **2x/4x/8x** motion or dramatic slow-motion effects.
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Generate new in-between frames using RIFE to create ultra-smooth **2x, 4x, or 8x** motion or dramatic slow-motion effects.
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- **Modern & Intuitive Interface**
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Completely redesigned in v3.0 for a clean, efficient, and user-friendly experience for both beginners and professionals.
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- **Batch Processing**
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Simultaneously process multiple images or videos—ideal for large-scale media projects.
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@@ -72,39 +57,30 @@ Version 2.2 introduces critical improvements focused on reliability and performa
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- **Customizable Workflows**
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Choose your preferred AI model, output resolution, format (PNG, JPEG, MP4, etc.), and quality settings for full creative control.
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- **Intuitive Interface**
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Designed for both beginners and professionals—simple, clean, and efficient.
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- **Open-Source & Extensible**
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Licensed under the MIT License. Additional usage terms can be found in the [NOTICE](https://www.google.com/search?q=NOTICE.md) file.
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Licensed under the MIT License. Contributions are welcome! Additional usage terms can be found in the `NOTICE.md` file.
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---
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## Recent Enhancements (v2.2)
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## What's New in Version 3.0
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- ✅ **Stability Overhaul:** Major improvements in error handling, including a comprehensive logging system and proactive environment validation to prevent crashes.
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- ✅ **Resilient Video Processing:** The video encoding pipeline now features automatic fallbacks for hardware codecs and audio stream processing, ensuring a valid output file is always created.
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- ✅ **Performance and Memory Optimization:** Implemented aggressive memory management to handle large video files without crashing and added dynamic GPU VRAM recovery for tiling-based tasks.
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- ✅ **Critical Bug Fixes:** Resolved race conditions in video encoding and GUI status updates, ensuring process integrity and predictable behavior.
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- ✅ **Safe Thread Management:** Upgraded to ensure processes are terminated gracefully and system resources are properly cleaned up on exit.
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- ✅ **AI Face Restoration:** Added support for the GFPGAN model, enabling powerful face enhancement and repair.
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- ✅ **Modernized UI/UX:** Implemented a complete visual redesign with a new, professional color scheme and improved components like a dynamic splash screen and scrollable message boxes.
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- ✅ **Performance Optimisation:** Enhanced memory efficiency by using contiguous arrays and refining data type handling during AI processing, leading to faster and more stable performance.
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- ✅ **Improved Codebase Health:** Refactored the core logic to be more modular by encapsulating face restoration in its own class (`AI_face_restoration`), improving maintainability.
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- ✅ **Increased Robustness:** Added explicit handling for images with transparency (BGRA) to ensure compatibility with models that require 3-channel input (BGR).
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---
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---
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## Installation
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## Interface Previews
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To get started with Warlock-Studio:
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### 🔹 Main View (v3.0)
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1. **Run the installer** and follow the setup instructions.
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2. **Launch the application** by opening `Warlock-Studio.exe`.
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3. **Begin enhancing** your images and videos with just a few clicks\!
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Warlock-Studio uses [PyInstaller](https://www.pyinstaller.org/) and [Inno Setup](http://www.jrsoftware.org/isinfo.php) for a seamless packaging and installation experience.
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### 🔹 RIFE Option
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### 🔹 Installation Window
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## 
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## 
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---
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@@ -112,56 +88,87 @@ Warlock-Studio uses [PyInstaller](https://www.pyinstaller.org/) and [Inno Setup]
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1. **Run as Administrator** (optional but recommended for optimal performance).
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2. **Load your media**: select your images and videos into the app.
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2. **Load Your Media**: Select your images and videos to import them into the app.
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3. **Configure settings**:
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3. **Configure Settings**:
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- Select an **AI Model** (e.g., Real-ESRGAN, SRGAN, BSRGAN, IRCNN, Waifu2x, Anime4K, RIFE)
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- Set the **output resolution**, **file format**, and toggle features such as **interpolation** or **slow-motion**
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- Select an **AI Model** (e.g., Real-ESRGAN, BSRGAN, GFPGAN, RIFE).
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- Set the **input/output resolution**, **file format**, and toggle features like **interpolation** or **blending**.
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4. **Start Processing**: click **"Make Magic"** to begin enhancement.
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4. **Start Processing**: Click **"Make Magic"** to begin the enhancement.
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5. **Retrieve your files**: processed outputs will be saved in your chosen destination folder.
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5. **Retrieve Your Files**: Processed outputs will be saved in your chosen destination folder.
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---
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## Quality Comparison
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## AI Model Workflows & Quality Comparison
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### Quality Comparison
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**Comparison of an enhanced image using the BSRGANx2 model**
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---
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### AI Model Workflows
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## AI-Models Workflow
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#### 🔹 GFPGAN (Face Restoration)
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### 🔹 RIFE
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#### 🔹 RIFE (Frame Interpolation)
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### 🔹 Real-ESRGAN
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#### 🔹 Real-ESRGAN (Upscaling)
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### 🔹 IRCNN
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#### 🔹 IRCNN (Denoising)
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### 🔹 BSRGAN
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#### 🔹 BSRGAN (Upscaling)
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---
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## 🛠️ Development Status — v2.2
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## Installation
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| Component | Status | Notes |
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| :---------------------------------- | :--------------- | :------------------------------------------------------------------------ |
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| **Upscaling Models (ESRGAN, etc.)** | 🟢 **Stable** | Fully integrated with dynamic VRAM recovery for enhanced stability. |
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| **Frame Interpolation (RIFE)** | 🟢 **Stable** | Includes slow-motion and intermediate frame generation capabilities. |
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| **Batch Processing** | 🟢 **Stable** | Reliable processing with improved error handling and resource management. |
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| **User Interface (UI/UX)** | 🟢 **Improved** | Updated color palette and faster start-up time. |
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| **GPU Management** | 🟢 **Optimized** | Dynamic VRAM error recovery and graceful hardware codec fallbacks. |
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| **Installer and Packaging** | 🟢 **Stable** | Easy-to-use installer for Windows platforms. |
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To get started with Warlock-Studio:
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1. **Download the installer** from the links at the top of this document.
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2. **Run the installer** and follow the setup instructions.
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3. **Launch the application** from the Start Menu or desktop shortcut.
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|
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Warlock-Studio uses [PyInstaller](https://www.pyinstaller.org/) and [Inno Setup](http://www.jrsoftware.org/isinfo.php) for a seamless packaging and installation experience.
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|
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### Installation Window Previews
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---
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## System Requirements
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- **Operating System:** Windows 10 or later (64-bit)
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- **Memory (RAM):** 8 GB or more recommended
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- **Graphics Card:** NVIDIA or DirectML-compatible GPU highly recommended for performance
|
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- **Storage:** Sufficient disk space for input and output media files
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---
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## Development Status — v3.0-07.25
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| Component | Status | Notes |
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| :---------------------------------- | :---------------- | :--------------------------------------------------------------------------------- |
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| **Upscaling Models (ESRGAN, etc.)** | 🟢 **Stable** | Fully integrated with dynamic VRAM recovery for enhanced stability. |
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| **Face Restoration (GFPGAN)** | 🟢 **Stable** | New feature for high-quality face enhancement. |
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| **Frame Interpolation (RIFE)** | 🟢 **Stable** | Includes slow-motion and intermediate frame generation capabilities. |
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| **Batch Processing** | 🟢 **Stable** | Reliable processing with improved error handling and resource management. |
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| **User Interface (UI/UX)** | 🟢 **Modernized** | Complete thematic redesign with a professional color palette and improved dialogs. |
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| **GPU Management** | 🟢 **Optimized** | Dynamic VRAM error recovery and graceful hardware codec fallbacks. |
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| **Installer and Packaging** | 🟢 **Stable** | Easy-to-use installer for Windows platforms. |
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---
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@@ -173,6 +180,7 @@ Warlock-Studio/
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│
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└──├──BSRGANx2_fp16.onnx
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├──BSRGANx4_fp16.onnx
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├──GFPGANv1.4.fp16.onnx
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├──IRCNN_Lx1_fp16.onnx
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├──IRCNN_Mx1_fp16.onnx
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├──RealESR_Animex4_fp16.onnx
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@@ -188,8 +196,6 @@ Warlock-Studio/
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├──clear_icon.png
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├──exiftool.exe
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├──ffmpeg.exe
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├──ffmplay.exe
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├──ffmprobe.exe
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├──info_icon.png
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├──logo.ico
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├──logo.png
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@@ -228,48 +234,38 @@ Warlock-Studio/
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├──Manual_EN.pdf
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├──Warlock-Studio.py # Main
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└──Warlock-Studio.spec
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```
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---
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### Integrated Technologies & Licenses
|
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| Technology | License | Author / Maintainer | Source Code / Homepage |
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| :------------ | :------------------------------- | :------------------------------------------------------ | :--------------------------------------------------------- |
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| QualityScaler | MIT | [Djdefrag](https://github.com/Djdefrag) | [GitHub](https://github.com/Djdefrag/QualityScaler) |
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| RealScaler | MIT | [Djdefrag](https://github.com/Djdefrag) | [GitHub](https://github.com/Djdefrag/RealScaler) |
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| FluidFrames | MIT | [Djdefrag](https://github.com/Djdefrag) | [GitHub](https://github.com/Djdefrag/FluidFrames) |
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| Real-ESRGAN | BSD 3-Clause / Apache 2.0 | [Xintao Wang](https://github.com/xinntao) | [GitHub](https://github.com/xinntao/Real-ESRGAN) |
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| RealESRGAN-G | BSD 3-Clause / Apache 2.0 | [Xintao Wang](https://github.com/xinntao) | [GitHub](https://github.com/xinntao/Real-ESRGAN) |
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| RealESR-Anime | BSD 3-Clause / Apache 2.0 | [Xintao Wang](https://github.com/xinntao) | [GitHub](https://github.com/xinntao/Real-ESRGAN) |
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| RealESR-Net | BSD 3-Clause / Apache 2.0 | [Xintao Wang](https://github.com/xinntao) | [GitHub](https://github.com/xinntao/Real-ESRGAN) |
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| RIFE | Apache 2.0 | [hzwer](https://github.com/hzwer) | [GitHub](https://github.com/megvii-research/ECCV2022-RIFE) |
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| SRGAN | CC BY-NC-SA 4.0 (Non-Commercial) | [TensorLayer Community](https://github.com/tensorlayer) | [GitHub](https://github.com/tensorlayer/srgan) |
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| BSRGAN | Apache 2.0 | [Kai Zhang](https://github.com/cszn) | [GitHub](https://github.com/cszn/BSRGAN) |
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| IRCNN | BSD / Mixed | [Kai Zhang](https://github.com/cszn) | [GitHub](https://github.com/cszn/IRCNN) |
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| Anime4K | MIT | [Tianyang Zhang (bloc97)](https://github.com/bloc97) | [GitHub](https://github.com/bloc97/Anime4K) |
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| ONNX Runtime | MIT | [Microsoft](https://github.com/microsoft) | [GitHub](https://github.com/microsoft/onnxruntime) |
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| PyTorch | BSD 3-Clause | [Meta AI](https://pytorch.org/) | [GitHub](https://github.com/pytorch/pytorch) |
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| FFmpeg | LGPL-2.1 / GPL (varies) | [FFmpeg Team](https://ffmpeg.org/) | [Official Site](https://ffmpeg.org) |
|
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| ExifTool | Perl Artistic License 1.0 | [Phil Harvey](https://exiftool.org/) | [Official Site](https://exiftool.org/) |
|
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| DirectML | MIT | [Microsoft](https://github.com/microsoft/) | [GitHub](https://github.com/microsoft/DirectML) |
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| Python | Python Software Foundation (PSF) | [Python Software Foundation](https://www.python.org/) | [Official Site](https://www.python.org) |
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| PyInstaller | GPLv2+ | [PyInstaller Team](https://github.com/pyinstaller) | [GitHub](https://github.com/pyinstaller/pyinstaller) |
|
||||
| Inno Setup | Custom Inno License | [Jordan Russell](http://www.jrsoftware.org/) | [Official Site](http://www.jrsoftware.org/isinfo.php) |
|
||||
|
||||
---
|
||||
## System Requirements
|
||||
|
||||
- **Operating System:** Windows 10 or later
|
||||
- **Memory (RAM):** Minimum 4 GB (8 GB or more recommended)
|
||||
- **Graphics Card:** NVIDIA or DirectML-compatible GPU highly recommended for performance
|
||||
- **Storage:** Sufficient disk space for input and output media files
|
||||
## Integrated Technologies & Licenses
|
||||
|
||||
| Technology | License | Author / Maintainer | Source Code / Homepage |
|
||||
| :------------ | :------------------------ | :-------------------------------------------------------- | :--------------------------------------------------------- |
|
||||
| QualityScaler | MIT | [Djdefrag](https://github.com/Djdefrag) | [GitHub](https://github.com/Djdefrag/QualityScaler) |
|
||||
| RealScaler | MIT | [Djdefrag](https://github.com/Djdefrag) | [GitHub](https://github.com/Djdefrag/RealScaler) |
|
||||
| FluidFrames | MIT | [Djdefrag](https://github.com/Djdefrag) | [GitHub](https://github.com/Djdefrag/FluidFrames) |
|
||||
| Real-ESRGAN | BSD 3-Clause / Apache 2.0 | [Xintao Wang](https://github.com/xinntao) | [GitHub](https://github.com/xinntao/Real-ESRGAN) |
|
||||
| GFPGAN | MIT | [TencentARC / Xintao Wang](https://github.com/TencentARC) | [GitHub](https://github.com/TencentARC/GFPGAN) |
|
||||
| RIFE | Apache 2.0 | [hzwer](https://github.com/hzwer) | [GitHub](https://github.com/megvii-research/ECCV2022-RIFE) |
|
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| SRGAN | CC BY-NC-SA 4.0 | [TensorLayer Community](https://github.com/tensorlayer) | [GitHub](https://github.com/tensorlayer/srgan) |
|
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| BSRGAN | Apache 2.0 | [Kai Zhang](https://github.com/cszn) | [GitHub](https://github.com/cszn/BSRGAN) |
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||||
| IRCNN | BSD / Mixed | [Kai Zhang](https://github.com/cszn) | [GitHub](https://github.com/cszn/IRCNN) |
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| Anime4K | MIT | [Tianyang Zhang (bloc97)](https://github.com/bloc97) | [GitHub](https://github.com/bloc97/Anime4K) |
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||||
| ONNX Runtime | MIT | [Microsoft](https://github.com/microsoft) | [GitHub](https://github.com/microsoft/onnxruntime) |
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| PyTorch | BSD 3-Clause | [Meta AI](https://pytorch.org/) | [GitHub](https://github.com/pytorch/pytorch) |
|
||||
| FFmpeg | LGPL / GPL (varies) | [FFmpeg Team](https://ffmpeg.org/) | [Official Site](https://ffmpeg.org) |
|
||||
| ExifTool | Perl Artistic License | [Phil Harvey](https://exiftool.org/) | [Official Site](https://exiftool.org/) |
|
||||
| DirectML | MIT | [Microsoft](https://github.com/microsoft/) | [GitHub](https://github.com/microsoft/DirectML) |
|
||||
| Python | PSF License | [Python Software Foundation](https://www.python.org/) | [Official Site](https://www.python.org) |
|
||||
| PyInstaller | GPLv2+ | [PyInstaller Team](https://github.com/pyinstaller) | [GitHub](https://github.com/pyinstaller/pyinstaller) |
|
||||
| Inno Setup | Custom License | [Jordan Russell](http://www.jrsoftware.org/) | [Official Site](http://www.jrsoftware.org/isinfo.php) |
|
||||
|
||||
---
|
||||
|
||||
## Contributions
|
||||
|
||||
We warmly welcome community contributions\!
|
||||
We warmly welcome community contributions!
|
||||
|
||||
1. **Fork** this repository.
|
||||
2. **Create a branch** for your feature or fix.
|
||||
@@ -277,11 +273,9 @@ We warmly welcome community contributions\!
|
||||
|
||||
For bug reports, feature suggestions, or inquiries, contact us at: **[negroayub97@gmail.com](mailto:negroayub97@gmail.com)**
|
||||
|
||||
**Warlock-Studio** merges cutting-edge artificial intelligence with a powerful yet accessible interface—empowering creators to elevate their media effortlessly.
|
||||
|
||||
---
|
||||
|
||||
## License
|
||||
|
||||
© 2025 Iván Eduardo Chavez Ayub
|
||||
Distributed under the MIT License. Additional terms are available in the [NOTICE.md](https://www.google.com/search?q=NOTICE.md) file.
|
||||
Distributed under the MIT License. Additional terms are available in the `NOTICE.md` file.
|
||||
|
||||
Reference in New Issue
Block a user