Release version v4.2.1 — improvements and fixes
This commit is contained in:
@@ -5,7 +5,7 @@
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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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[](https://github.com/Ivan-Ayub97/Warlock-Studio/releases/tag/4.2.1)
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[](LICENSE)
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[](https://github.com/Ivan-Ayub97/Warlock-Studio/releases)
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@@ -14,19 +14,17 @@
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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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**Warlock-Studio** is an open-source desktop application for **Windows**, engineered 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 DirectML & CUDA support, and significant **packaging optimizations**, ensuring the most reliable and performant experience yet.
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Version **4.2.1** delivers critical stability fixes, including the resolution of a major audio failure bug, and introduces a comprehensive Redesign for a modern, high-contrast visual experience.
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---
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## 📥 Download Installer (v4.2)
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## 📥 Download Installer (v4.2.1)
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Get the latest stable release from:
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@@ -38,7 +36,7 @@ Get the latest stable release from:
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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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<a href="https://github.com/Ivan-Ayub97/Warlock-Studio/releases/download/v4.2.1/Warlock-Studio-v4.2.1-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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@@ -68,24 +66,32 @@ We highly recommend consulting the official user manual. The documentation provi
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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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- **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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## 🆕 What's New in v4.2.1
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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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This maintenance release focuses on critical stability, usability, and a significant visual overhaul.
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### Stability & Usability Fixes
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- **✅ Critical Audio Fix:** Resolved a major bug that caused all generated videos to be encoded without an audio track. The missing `ffprobe.exe` binary has been restored, ensuring proper audio stream detection and passthrough/re-encoding.
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- **✅ UI State Resilience:** Fixed an issue where conflicting AI model settings (e.g., blending and frame interpolation options) could persist incorrectly when switching between model types, preventing invalid setting combinations.
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- **✅ Robust Thumbnails:** Reworked the file thumbnail generation process (`FileWidget.extract_file_icon`) to be more robust, preventing potential crashes related to `Pillow`/`numpy` compatibility issues during image conversion.
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- **✅ Fixed Window Size:** The main application window is now non-resizable (`window.resizable(False, False)`) to ensure a stable and predictable UI layout, preventing widget placement errors.
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- **✅ Dialog Behavior:** Removed the aggressive "always-on-top" flag (`-topmost`) from dialog windows, ensuring they behave as standard application-modal windows.
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### Visual & Thematic Redesign
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- **🔥 "DarkRed" Theme:** Introduced a significant visual overhaul with a high-contrast, dark-mode palette. The theme uses a deep red background (`#480B0B`) with bright yellow (`#FFE32C`) and white text for enhanced readability and a distinct, technical aesthetic.
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- **💻 Monospaced Font:** Changed the global font from `"Segoe UI"` to `"Consola"` for a uniform, technical look across all UI elements, enhancing readability for file names and status messages.
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---
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@@ -101,13 +107,13 @@ We highly recommend consulting the official user manual. The documentation provi
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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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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, RIFE, 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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@@ -116,30 +122,34 @@ We highly recommend consulting the official user manual. The documentation provi
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Enhanced image using **BSRGANx2**:
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AI-Driven Visual Transformation: Before & After (**Click on the image to open the video on YouTube**)
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[](https://youtu.be/kJOcctTM32c)
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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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| 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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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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@@ -147,29 +157,31 @@ Enhanced image using **BSRGANx2**:
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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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- **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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## 📌 Development Status (v4.2.1)
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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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| 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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| **Video Audio Passthrough** | **✅ Fixed** | **Resolved critical failure to include audio in encoded videos.** |
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| **UI State Persistence** | **✅ Fixed** | **Settings no longer conflict when switching AI models.** |
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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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| User Interface (UI/UX) | 🟢 Redesigned | **New high-contrast "Inferno" theme.** |
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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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@@ -193,6 +205,8 @@ 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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│ ├── ffmprobe.exe
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│ ├── ffmplay.exe
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│ ├── info_icon.png
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│ ├── logo.ico
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│ ├── logo.png
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@@ -218,27 +232,28 @@ Warlock-Studio/
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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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| 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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@@ -246,9 +261,11 @@ Warlock-Studio/
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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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**Fork** the repository.
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**Create a branch** for your feature or bug fix.
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**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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@@ -260,27 +277,3 @@ We welcome contributions from the community:
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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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Reference in New Issue
Block a user