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Iván Eduardo Chavez Ayub
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<div align="center">
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# Warlock-Studio
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# 🎭 Warlock-Studio
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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/4.0)
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[](LICENSE)
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[](https://github.com/Ivan-Ayub97/Warlock-Studio/releases/tag/4.0.1)
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[](LICENSE)
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[](https://github.com/Ivan-Ayub97/Warlock-Studio/releases)
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_Transform your media with cutting-edge AI technology_
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@@ -19,11 +19,13 @@ _Transform your media with cutting-edge AI technology_
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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 4.0 continues this evolution with the addition of **SuperResolution-10** model integration, enhanced AI architecture, and improved code stability for even better performance and reliability.
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Version 4.0.1 continues this evolution with enhanced AI architecture and improved code stability for even better performance and reliability. Note: The SuperResolution-10 model has been removed in this version for better performance optimization.
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---
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### ► Download Installer (v4.0)
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### ► Download Installer (v4.0.1) - Now Lightweight
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🚀 **NEW**: Installer size reduced from **1.4GB to ~450MB**! AI models (400MB) are automatically downloaded when first launched.
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Get the latest stable release from any of the following platforms:
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@@ -35,7 +37,7 @@ Get the latest stable release from any of the following platforms:
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</a>
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</td>
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<td align="center" width="33%">
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<a href="https://github.com/Ivan-Ayub97/Warlock-Studio/releases/download/4.0/Warlock-Studio4.0Setup.zip">
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<a href="https://github.com/Ivan-Ayub97/Warlock-Studio/releases/download/4.0.1/Warlock-Studio4.0.1Setup.zip">
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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>
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@@ -47,13 +49,13 @@ Get the latest stable release from any of the following platforms:
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## Key Features
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- **State-of-the-Art AI Models**
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A comprehensive suite including Real-ESRGAN, BSRGAN, IRCNN, **GFPGAN**, **RIFE**, and **SuperResolution-10** for denoising, resolution enhancement, detail restoration, extreme upscaling, 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, upscaling, and smooth frame interpolation.
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- **AI Face Restoration**
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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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- **SuperResolution-10 Model (New in v4.0)**
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Extreme 10x upscaling capabilities specifically designed for very low-resolution images, perfect for bringing old photos back to life with exceptional detail.
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- **High-Quality Upscaling Models**
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Real-ESRGAN and BSRGAN models provide excellent upscaling capabilities for various image types, from anime to photorealistic content.
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- **AI Frame Interpolation & Slow Motion**
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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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@@ -72,14 +74,14 @@ Get the latest stable release from any of the following platforms:
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---
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## What's New in Version 4.0
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## What's New in Version 4.0.1
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- ✅ **SuperResolution-10 Model:** Added support for the SuperResolution-10 model, providing extreme 10x upscaling capabilities specifically designed for very low-resolution images.
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- ✅ **Enhanced AI Architecture:** Implemented the missing `AI_model_base` class with robust ONNX model loading, GPU acceleration support, and comprehensive error handling.
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- 🔧 **Model Optimization:** Removed SuperResolution-10 model to improve overall performance and reduce complexity. For extreme upscaling needs, we recommend using Real-ESRGAN or BSRGAN models which provide excellent results.
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- ✅ **Enhanced AI Architecture:** Implemented robust ONNX model loading, GPU acceleration support, and comprehensive error handling.
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- ✅ **Code Quality Improvements:** Fixed critical import errors, consolidated duplicate code sections, and improved type annotations for better maintainability.
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- ✅ **Improved Error Handling:** Added graceful degradation mechanisms that prevent crashes and provide meaningful error messages during processing.
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- ✅ **Complete Model Integration:** SuperResolution-10 is fully integrated into the UI, processing pipeline, and information dialogs with proper VRAM management.
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- 🚀 **Smart Model Distribution:** New lightweight installer (300MB vs 1.4GB) with automatic AI model download system that fetches models on first launch.
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- ✅ **Streamlined Model Integration:** Optimized model integration in the UI and processing pipeline for better performance.
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- 🚀 **Smart Model Distribution:** Lightweight installer (~450MB) with automatic AI model download system that fetches models on first launch.
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- 📦 **Optimized Packaging:** Enhanced PyInstaller configuration excludes AI models from executable, significantly reducing download and installation time.
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---
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@@ -90,8 +92,8 @@ Version 4.0 introduces a revolutionary approach to AI model distribution:
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### 🎯 **Lightweight Installation**
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- **Installer Size:** Reduced from 1.4GB to ~300MB (78% size reduction)
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- **First Launch:** AI models (327MB) download automatically with progress tracking
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- **Installer Size:** Reduced from 1.4GB to ~450MB (68% size reduction)
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- **First Launch:** AI models (~400MB) download automatically with progress tracking
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- **Bandwidth Friendly:** Users with limited internet can get started faster
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### 🛡️ **Reliability Features**
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@@ -104,7 +106,7 @@ Version 4.0 introduces a revolutionary approach to AI model distribution:
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## Interface Previews
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### 🔹 Main View (v4.0)
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### 🔹 Main View (v4.0.1)
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@@ -168,12 +170,12 @@ Warlock-Studio uses [PyInstaller](https://www.pyinstaller.org/) and [Inno Setup]
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---
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## Development Status — v4.0-07.25
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## Development Status — v4.0.1-07.25
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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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| **SuperResolution-10 Model** | 🟢 **New** | Extreme 10x upscaling for very low-resolution images with robust error handling. |
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| **Optimized Model Suite** | 🟢 **Enhanced** | Streamlined AI models for optimal performance and reliability. |
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| **Face Restoration (GFPGAN)** | 🟢 **Stable** | High-quality face enhancement and restoration capabilities. |
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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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@@ -202,7 +204,6 @@ Warlock-Studio/
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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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└──super-resolution-10.onnx
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├──Assets/
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│
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└──├──banner.png
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@@ -248,37 +249,31 @@ Warlock-Studio/
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├──Warlock-Studio.py # Main
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└──Warlock-Studio.spec
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```
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## AI models Workflow
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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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| GFPGAN | Apache 2.0 | [TencentARC / Xintao Wang](https://github.com/TencentARC) | [GitHub](https://github.com/TencentARC/GFPGAN) |
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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 | [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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| Super Resolution 10 | MIT | [ONNX Model Zoo Contributors](https://github.com/onnx/models) | [GitHub](https://github.com/onnx/models/tree/main/vision/super_resolution/sub_pixel_cnn_2016) |
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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 / GPL (varies) | [FFmpeg Team](https://ffmpeg.org/) | [Official Site](https://ffmpeg.org) |
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| ExifTool | Perl Artistic License | [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 | PSF License | [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) |
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| Inno Setup | Custom License | [Jordan Russell](http://www.jrsoftware.org/) | [Official Site](http://www.jrsoftware.org/isinfo.php) |
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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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| GFPGAN | Apache 2.0 | [TencentARC / Xintao Wang](https://github.com/TencentARC) | [GitHub](https://github.com/TencentARC/GFPGAN) |
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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 | [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 / GPL (varies) | [FFmpeg Team](https://ffmpeg.org/) | [Official Site](https://ffmpeg.org) |
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| ExifTool | Perl Artistic License | [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 | PSF License | [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) |
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| Inno Setup | Custom License | [Jordan Russell](http://www.jrsoftware.org/) | [Official Site](http://www.jrsoftware.org/isinfo.php) |
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---
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