### _AI Media Enhancement Suite_
[](https://github.com/Ivan-Ayub97/Warlock-Studio/releases)
[](https://github.com/Ivan-Ayub97/Warlock-Studio/releases/tag/4.1)
[](LICENSE)
[](https://github.com/Ivan-Ayub97/Warlock-Studio/releases)
_Transform your media with cutting-edge AI technology_
---
**Warlock-Studio** is a professional, open-source desktop application for **Windows**, designed to integrate state-of-the-art AI models for **image and video enhancement**.
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**.
Version **4.1** introduces **enhanced GPU utilization**, **robust ONNX model loading**, and multiple **stability and compatibility improvements**, ensuring a smoother, faster, and more reliable user experience.
---
## π₯ Download Installer (v4.1)
Get the latest stable release from multiple sources:
---
## β¨ Key Features
- **AI Upscaling & Restoration** β Utilize **Real-ESRGAN, BSRGAN, and IRCNN** models for denoising, super-resolution, and detail recovery.
- **Face Restoration (GFPGAN)** β Recover facial details from low-resolution or blurry images and video frames.
- **Frame Interpolation (RIFE)** β Smooth motion or generate slow-motion content with **2Γ, 4Γ, or 8Γ interpolation**.
- **Modern UI** β Redesigned interface in v4.0 for **intuitive workflow and streamlined navigation**.
- **Batch Processing** β Process multiple media files simultaneously, saving time and effort.
- **Custom Workflows** β Fine-grained control over models, resolution, output formats, and quality parameters.
- **Open-Source & Extensible** β Fully MIT licensed, with a modular architecture for contributors and developers.
---
## π Whatβs New in v4.1
- π§ **Removed outdated SuperResolution-10 model** to streamline resources.
- β
**Enhanced ONNX loading** with better GPU acceleration.
- β
**Fixed import and type annotation issues** for cleaner code execution.
- β
**Improved error handling** with graceful fallback mechanisms.
- π’ Optimized **GPU resource management** for faster processing.
- π Compatibility fixes for **NumPy** and **OpenCV**.
- π¦ Stability and memory usage improvements for longer sessions.
- β
Increased startup reliability with enhanced user notifications.
---
## π Smart Model Distribution System (v4.0+)
### π― Lightweight Installation
- Installer reduced from **1.4GB β 450MB** (β68%) for faster downloads.
- Core AI models (~400MB) downloaded automatically on first launch.
- Bandwidth-friendly and modular setup for selective installation.
### π‘οΈ Reliability
- **Integrity checks** on downloaded model files.
- **Graceful degradation** in case of missing models.
- **Offline support** allows manual placement of model files.
---
## πΌοΈ Interface Previews
**Main Window**

**RIFE Options**

---
## π How to Use
1. Run Warlock-Studio as **Administrator** (recommended for full GPU access).
2. **Load Media** β Import images or videos.
3. **Configure Processing Settings**:
- Select AI model (Real-ESRGAN, GFPGAN, etc.)
- Set resolution, format, frame interpolation, and quality.
4. **Start Processing** using **"Make Magic"**.
5. Retrieve the processed results from the designated output folder.
---
## πΌοΈ Quality Comparison
Enhanced image using **BSRGANx2**:

---
## π Model Comparison
| Model File | Use Case | Speed | Quality | Notes |
|--------------------------|----------------------------------------|---------|---------|-------|
| **GFPGANv1.4** | Face restoration | High | High | Optimal for portraits |
| **BSRGANx2** | 2Γ upscale + denoising | Medium | Very High | Suitable for lightly degraded media |
| **BSRGANx4** | 4Γ upscale + denoising | Low | Very High | For heavily degraded content |
| **RIFE** | Frame interpolation | High | High | Smooth motion, slow-motion support |
| **RIFE-Lite** | Lightweight interpolation | Very High | Medium | Faster, lower resource usage |
| **RealESRGANx4** | General 4Γ upscaling | Medium | High | Balanced performance |
| **RealESRNetx4** | Subtle restoration | Medium | High | Preserves natural image texture |
| **RealSRx4_Anime** | Anime / line-art enhancement | Medium | High | Sharp edges for 2D art |
| **IRCNN_L** | Light denoising | High | Medium | Mild artifact removal |
| **IRCNN_M** | Medium denoising | High | Medium | Stronger artifact cleanup |
---
## βοΈ Installation
1. **Download installer** (see links above).
2. Run the **setup wizard** and follow prompts.
3. Launch via Start Menu or Desktop shortcut.
> Warlock-Studio is packaged using **PyInstaller** and deployed with **Inno Setup** for seamless installation.
### Installer Previews



---
## π₯οΈ System Requirements
- **OS:** Windows 10 or higher (64-bit)
- **RAM:** 8GB+ recommended
- **GPU:** NVIDIA or DirectML-compatible GPU recommended
- **Storage:** Sufficient free space for input and processed media
---
## π Development Status (v4.1-08.01)
| Component | Status | Notes |
|-----------------------------|------------|-------|
| Upscaling Models | π’ Stable | Includes VRAM recovery integration |
| Optimized Model Suite | π’ Enhanced | Streamlined and reliable |
| Face Restoration (GFPGAN) | π’ Stable | High-quality face reconstruction |
| Frame Interpolation (RIFE) | π’ Stable | Smooth motion and slow-motion support |
| Batch Processing | π’ Stable | Improved error handling and logging |
| User Interface (UI/UX) | π’ Refined | Clean, modern design with integrated models |
| GPU Management | π’ Enhanced | Robust ONNX handling and fallbacks |
| Code Quality | π’ Improved | Refactored, type-safe, maintainable |
| Installer & Packaging | π’ Stable | Smooth setup experience |
---
## π Project Structure
```
Warlock-Studio/
βββ AI-onnx/ # Pre-trained ONNX models for AI processing
β βββ BSRGANx2_fp16.onnx
β βββ BSRGANx4_fp16.onnx
β βββ GFPGANv1.4.fp16.onnx
β βββ IRCNN_Lx1_fp16.onnx
β βββ IRCNN_Mx1_fp16.onnx
β βββ RealESR_Animex4_fp16.onnx
β βββ RealESR_Gx4_fp16.onnx
β βββ RealESRGANx4_fp16.onnx
β βββ RealESRNetx4_fp16.onnx
β βββ RealSRx4_Anime_fp16.onnx
β βββ RIFE_fp32.onnx
β βββ RIFE_Lite_fp32.onnx
β
βββ Assets/ # Application assets and third-party binaries
β βββ banner.png
β βββ clear_icon.png
β βββ exiftool.exe
β βββ ffmpeg.exe
β βββ info_icon.png
β βββ logo.ico
β βββ logo.png
β βββ stop_icon.png
β βββ upscale_icon.png
β βββ wizard-image.bmp
β βββ wizard-small.bmp
β
βββ rsc/ # UI previews, workflows, and branding resources
β βββ badge-color.png
β βββ Capture.png
β βββ CaptureRIFE.png
β βββ google_drive-logo.png
β βββ WorkflowBSRGAN.png
β βββ WorkflowIRCNN.png
β βββ WorkflowRealESRGAN.png
β βββ WorkflowRIFE.png
β βββ Installation_window2.png
β
βββ Manual/ # LaTeX sources and generated manuals
β βββ Manual_EN.tex
β βββ Manual_ES.tex
β βββ Manual_EN.pdf
β βββ Manual_ES.pdf
β
βββ Warlock-Studio.py # Main application script
βββ Warlock-Studio.spec # PyInstaller specification file
βββ Setup.iss # Inno Setup installer script
βββ README.md # Project overview
βββ requirements.txt # Python dependencies
βββ CHANGELOG.md # Version history and updates
βββ LICENSE # MIT License information
βββ License.txt # Additional license info
βββ NOTICE.md # Legal notices and attributions
βββ CODE_OF_CONDUCT.md # Contributor guidelines
βββ CONTRIBUTING.md # Contribution guide
βββ SECURITY.md # Security reporting policies
```
π Integrated Technologies & Licenses
Technology License Author Source
Real-ESRGAN BSD/Apache Xintao Wang
GitHub
GFPGAN Apache 2.0 TencentARC
GitHub
RIFE Apache 2.0 hzwer
GitHub
BSRGAN Apache 2.0 Kai Zhang
GitHub
IRCNN BSD/Mixed Kai Zhang
GitHub
Anime4K MIT bloc97
GitHub
ONNX Runtime MIT Microsoft
GitHub
PyTorch BSD-3 Meta AI
GitHub
FFmpeg LGPL/GPL FFmpeg Team
Site
ExifTool Artistic Phil Harvey
Site
PyInstaller GPLv2+ Team
GitHub
Inno Setup Custom Jordan Russell
Site
π€ Contributions
We welcome contributions from the community:
Fork the repository.
Create a branch for your feature or bug fix.
Submit a Pull Request with detailed description and testing notes.
π§ Contact: negroayub97@gmail.com
π License
Β© 2025 IvΓ‘n Eduardo Chavez Ayub
Licensed under MIT. Additional terms and attributions are provided in NOTICE.md.
```
This version preserves all content but enhances technical clarity, professional formatting, and structured readability for developers and end-users.