Iván Eduardo Chavez Ayub
276 lines
14 KiB
Markdown
276 lines
14 KiB
Markdown
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<div align="center">
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### _AI Media Enhancement Suite_
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[](https://github.com/Ivan-Ayub97/Warlock-Studio/releases)
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[](https://github.com/Ivan-Ayub97/Warlock-Studio/releases/tag/4.2)
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[](LICENSE)
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[](https://github.com/Ivan-Ayub97/Warlock-Studio/releases)
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[](#)
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[](https://www.python.org/)
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[](https://github.com/Ivan-Ayub97/Warlock-Studio/issues)
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[](https://github.com/Ivan-Ayub97/Warlock-Studio/commits/main)
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_Transform your media with cutting-edge AI technology_
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---
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**Warlock-Studio** is an open-source desktop application for **Windows**, designed to integrate state-of-the-art AI models for **image and video enhancement**.
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Inspired by [Djdefrag](https://github.com/Djdefrag) tools such as **QualityScaler** and **FluidFrames**, Warlock-Studio provides a unified, high-performance platform for **upscaling, restoration, denoising, and frame interpolation**.
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Version **4.2** introduces a **full offline installer**, an **advanced ONNX Runtime engine** with CUDA support, and significant **packaging optimizations**, ensuring the most reliable and performant experience yet.
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---
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## 📥 Download Installer (v4.2)
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Get the latest stable release from:
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<table>
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<tr>
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<td align="center">
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<a href="https://sourceforge.net/p/warlock-studio/">
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<img alt="Download Warlock-Studio" src="https://sourceforge.net/sflogo.php?type=18&group_id=3880091" width="200">
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</a>
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</td>
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<td align="center">
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<a href="https://github.com/Ivan-Ayub97/Warlock-Studio/releases/download/v4.2/Warlock-Studio-v4.2-Setup.exe">
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<img src="rsc/GitHub_Logo_WS.png" alt="Download from GitHub" width="200" />
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</a>
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</td>
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<td align="center">
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<a href="https://ivanayub97.itch.io/warlock-studio">
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<img src="rsc/itch.io.png" alt="Download from itch.io" width="200" />
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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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## ✨ Key Features
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- **AI Upscaling & Restoration** – Utilize **Real-ESRGAN, BSRGAN, and IRCNN** models for denoising, super-resolution, and detail recovery.
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- **Face Restoration (GFPGAN)** – Recover facial details from low-resolution or blurry images and video frames.
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- **Frame Interpolation (RIFE)** – Smooth motion or generate slow-motion content with **2×, 4×, or 8× interpolation**.
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- **Advanced Hardware Acceleration** – Intelligent provider selection prioritizes **CUDA**, falls back to **DirectML**, and finally **CPU** for maximum compatibility and performance.
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- **Batch Processing** – Process multiple media files simultaneously, saving time and effort.
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- **Custom Workflows** – Fine-grained control over models, resolution, output formats, and quality parameters.
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- **Open-Source & Extensible** – Fully MIT licensed, for contributors and developers.
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---
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## 🆕 What’s New in v4.2
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- 📦 **Full Offline Installer**: The application is now distributed as a single, self-contained offline installer. All AI models are included, eliminating the need for an internet connection during setup and ensuring a reliable installation.
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- 🚀 **Advanced ONNX Runtime Engine**: The model loading architecture was re-engineered to intelligently prioritize hardware acceleration providers (**CUDA** > **DirectML** > **CPU**), maximizing performance on capable hardware and ensuring stability via a robust fallback mechanism.
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- ⚙️ **Aggressive Packaging Optimization**: The final application size has been drastically reduced by aggressively pruning unnecessary dependencies from the PyInstaller build, resulting in a lighter and more efficient package.
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- 🐛 **Enhanced Runtime Stability**: Added crucial hidden imports to the build process, preventing `ModuleNotFoundError` crashes and ensuring all components of `onnxruntime` and other libraries load correctly.
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- 🖥️ **Improved Debugging Experience**: The application now runs with an attached console window, providing real-time logs and error messages for easier troubleshooting.
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- ✨ **Professional Splash Screen**: A new startup splash screen provides immediate visual feedback while the application initializes, improving the user experience.
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---
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## 🖼️ Interface Previews
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**Main Window**
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**RIFE Options**
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---
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## 🚀 How to Use
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1. Run Warlock-Studio as **Administrator** (recommended for full GPU access).
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2. **Load Media** – Import images or videos.
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3. **Configure Processing Settings**:
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- Select AI model (Real-ESRGAN, GFPGAN, etc.)
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- Set resolution, format, frame interpolation, and quality.
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4. **Start Processing** using **"Make Magic"**.
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5. Retrieve the processed results from the designated output folder.
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---
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## 🖼️ Quality Comparison
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Enhanced image using **BSRGANx2**:
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---
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## 📊 Model Comparison
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| Model File | Use Case | Speed | Quality | Notes |
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| -------------------------- | ------------------------------ | --------- | --------- | ----------------------------------- |
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| **GFPGANv1.4** | Face restoration | High | High | Optimal for portraits |
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| **BSRGANx2** | 2× upscale + denoising | Medium | Very High | Suitable for lightly degraded media |
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| **BSRGANx4** | 4× upscale + denoising | Low | Very High | For heavily degraded content |
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| **RIFE** | Frame interpolation | High | High | Smooth motion, slow-motion support |
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| **RIFE-Lite** | Lightweight interpolation | Very High | Medium | Faster, lower resource usage |
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| **RealESRGANx4** | General 4× upscaling | Medium | High | Balanced performance |
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| **RealESRNetx4** | Subtle restoration | Medium | High | Preserves natural image texture |
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| **RealSRx4_Anime** | Anime / line-art enhancement | Medium | High | Sharp edges for 2D art |
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| **IRCNN_L** | Light denoising | High | Medium | Mild artifact removal |
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| **IRCNN_M** | Medium denoising | High | Medium | Stronger artifact cleanup |
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---
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## ⚙️ Installation
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1. **Download the Full Offline Installer** (see links above).
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2. Run the **setup wizard** and follow the prompts.
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3. Launch via Start Menu or Desktop shortcut.
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> Warlock-Studio is packaged using **PyInstaller** and deployed with **Inno Setup** for a seamless, self-contained installation experience.
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### Installer Previews
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---
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## 🖥️ System Requirements
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- **OS:** Windows 11 or higher (64-bit)
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- **RAM:** 8GB+ recommended
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- **GPU:** NVIDIA (for CUDA), AMD, or Intel GPU with up-to-date drivers recommended
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- **Storage:** Sufficient free space for input and processed media
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---
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## 📌 Development Status (v4.2)
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| Component | Status | Notes |
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| ---------------------------- | ----------- | -------------------------------------------------------- |
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| ONNX Runtime Engine | 🟢 Enhanced | Prioritizes CUDA > DirectML > CPU with automatic fallback. |
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| Installer & Packaging | 🟢 Overhauled | Full offline installer; heavily optimized package size. |
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| Upscaling Models | 🟢 Stable | Includes VRAM recovery integration. |
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| Face Restoration (GFPGAN) | 🟢 Stable | High-quality face reconstruction. |
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| Frame Interpolation (RIFE) | 🟢 Stable | Smooth motion and slow-motion support. |
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| Batch Processing | 🟢 Stable | Improved error handling and logging. |
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| User Interface (UI/UX) | 🟢 Refined | Clean, modern design with splash screen. |
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| Code Quality | 🟢 Improved | Refactored, modular, and more maintainable. |
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---
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## 📂 Project Structure
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</div>
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```
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Warlock-Studio/
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├── AI-onnx/ # Pre-trained ONNX models for AI processing
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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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│ ├── RealESR_Gx4_fp16.onnx
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│ ├── RealESRGANx4_fp16.onnx
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│ ├── RealESRNetx4_fp16.onnx
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│ ├── RealSRx4_Anime_fp16.onnx
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│ ├── RIFE_fp32.onnx
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│ └── RIFE_Lite_fp32.onnx
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│
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├── Assets/ # Application assets and third-party binaries
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│ ├── banner.png
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│ ├── clear_icon.png
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│ ├── exiftool.exe
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│ ├── ffmpeg.exe
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│ ├── info_icon.png
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│ ├── logo.ico
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│ ├── logo.png
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│ ├── stop_icon.png
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│ ├── upscale_icon.png
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│ ├── wizard-image.bmp
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│ └── wizard-small.bmp
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│
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├── rsc/ # UI previews, workflows, and branding resources
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│ ├── itch.io.png
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│ ├── Capture.png
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│ ├── CaptureRIFE.png
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│ ├── GitHub_Logo_WS.png
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│ ├── WorkflowBSRGAN.png
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│ ├── WorkflowIRCNN.png
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│ ├── WorkflowRealESRGAN.png
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│ ├── WorkflowRIFE.png
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│ ├── Installation_window.png
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│ ├── Installation_window2.png
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│ └── Installation_window3.png
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│
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├── Manual/ # LaTeX sources and generated manuals
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│ ├── Manual_EN.tex
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│ ├── Manual_ES.tex
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│ ├── v4.1_User_Manual_EN.pdf
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│ └── v4.1_User_Manual_ES.pdf
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│
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├── Warlock-Studio.py # Main application script
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├── Warlock-Studio.spec # PyInstaller specification file
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├── Setup.iss # Inno Setup installer script
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├── README.md # Project overview
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├── requirements.txt # Python dependencies
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├── CHANGELOG.md # Version history and updates
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├── LICENSE # MIT License information
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├── NOTICE.md # Legal notices and attributions
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├── CODE_OF_CONDUCT.md # Contributor guidelines
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├── CONTRIBUTING.md # Contribution guide
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└── SECURITY.md # Security reporting policies
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```
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<div align="center">
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---
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## 📊 Integrated Technologies & Licenses
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| Technology | License | Author / Maintainer | Source |
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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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| FluidFrames | MIT | [Djdefrag](https://github.com/Djdefrag) | [GitHub](https://github.com/Djdefrag/FluidFrames) |
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| Real-ESRGAN | BSD 3-Clause / Apache | Xintao Wang | [GitHub](https://github.com/xinntao/Real-ESRGAN) |
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| GFPGAN | Apache 2.0 | TencentARC / Xintao Wang | [GitHub](https://github.com/TencentARC/GFPGAN) |
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| RIFE | Apache 2.0 | hzwer | [GitHub](https://github.com/megvii-research/ECCV2022-RIFE) |
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| BSRGAN | Apache 2.0 | Kai Zhang | [GitHub](https://github.com/cszn/BSRGAN) |
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| IRCNN | BSD / Mixed | Kai Zhang | [GitHub](https://github.com/cszn/IRCNN) |
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| ONNX Runtime | MIT | Microsoft | [GitHub](https://github.com/microsoft/onnxruntime) |
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| FFmpeg | LGPL / GPL | FFmpeg Team | [Official Site](https://ffmpeg.org) |
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| ExifTool | Artistic License | Phil Harvey | [Official Site](https://exiftool.org/) |
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| Python | PSF License | Python Software Foundation | [Official Site](https://www.python.org) |
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| PyInstaller | GPLv2+ | PyInstaller Team | [GitHub](https://github.com/pyinstaller/pyinstaller) |
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| Inno Setup | Custom | Jordan Russell | [Official Site](http://www.jrsoftware.org/isinfo.php) |
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---
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## 🤝 Contributions
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We welcome contributions from the community:
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1. **Fork** the repository.
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2. **Create a branch** for your feature or bug fix.
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3. **Submit a Pull Request** with a detailed description and testing notes.
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📧 Contact: **[negroayub97@gmail.com](mailto:negroayub97@gmail.com)**
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---
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## 📜 License
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© 2025 Iván Eduardo Chavez Ayub
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Licensed under **MIT**. Additional terms and attributions are provided in `NOTICE.md`.
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</div>
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