Iván Eduardo Chavez Ayub
Get Warlock-Studio Installer
You can download the installer (latest version 2.2) from any of this platforms:
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AI-Powered Media Enhancement & Upscaling Suite 2.2
Warlock-Studio is a powerful open-source desktop application inspired by the remarkable work of 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.
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.
Version 2.2 introduces critical improvements focused on reliability and performance:
- Comprehensive Logging System for easier debugging.
- Proactive Environment Validation to prevent common errors.
- Resilient Video Encoding with automatic codec and audio fallbacks.
- Aggressive Memory Management and dynamic GPU VRAM recovery to handle long processing tasks without crashing.
Interface Previews
🔹 Main
🔹 RIFE (Frame Interpolation) Options
🔹 Icon App
🔹 Installation Window
🛠️ Development Status — v2.2
| Component | Status | Notes |
|---|---|---|
| Upscaling Models (ESRGAN, etc.) | 🟢 Stable | Fully integrated with dynamic VRAM recovery for enhanced stability. |
| Frame Interpolation (RIFE) | 🟢 Stable | Includes slow-motion and intermediate frame generation capabilities. |
| Batch Processing | 🟢 Stable | Reliable processing with improved error handling and resource management. |
| User Interface (UI/UX) | 🟢 Improved | Updated color palette and faster start-up time. |
| GPU Management | 🟢 Optimized | Dynamic VRAM error recovery and graceful hardware codec fallbacks. |
| Installer and Packaging | 🟢 Stable | Easy-to-use installer for Windows platforms. |
Recent Enhancements (v2.2)
- ✅ Stability Overhaul: Major improvements in error handling, including a comprehensive logging system and proactive environment validation to prevent crashes.
- ✅ 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.
- ✅ 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.
- ✅ Critical Bug Fixes: Resolved race conditions in video encoding and GUI status updates, ensuring process integrity and predictable behavior.
- ✅ Safe Thread Management: Upgraded to ensure processes are terminated gracefully and system resources are properly cleaned up on exit.
Project Structure
Warlock-Studio/
├──AI-onnx/
│
└──├──BSRGANx2_fp16.onnx
├──BSRGANx4_fp16.onnx
├──IRCNN_Lx1_fp16.onnx
├──IRCNN_Mx1_fp16.onnx
├──RealESR_Animex4_fp16.onnx
├──RealESR_Gx4_fp16.onnx
├──RealESRGANx4_fp16.onnx
├──RealESRNetx4_fp16.onnx
├──RealSRx4_Anime_fp16.onnx
├──RIFE_fp32.onnx
└──RIFE_Lite_fp32.onnx
├──Assets/
│
└──├──banner.png
├──clear_icon.png
├──exiftool.exe
├──ffmpeg.exe
├──ffmplay.exe
├──ffmprobe.exe
├──info_icon.png
├──logo.ico
├──logo.png
├──stop_icon.png
├──upscale_icon.png
├──wizard-image.bmp
└──wizard-small.bmp
├──rsc/
│
└──├──badge-color.png
├──Capture.png
├──CaptureRIFE.png
├──google_drive-logo.png
├──Installation_window.png
└──Installation_window2.png
├──Manual/
│
└──├──Manual_EN.pdf
├──Manual_EN.tex
├──Manual_ES.pdf
└──Manual_ES.tex
│
├──CHANGELOG.md
├──CODE_OF_CONDUCT.md
├──CONTRIBUTING.md
├──LICENSE
├──License.txt
├──NOTICE.md
├──README.md # This File
├──SECURITY.md
├──Setup.iss
├──Manual_ES.pdf
├──Manual_EN.pdf
├──Warlock-Studio.py # Main
└──Warlock-Studio.spec
Installation
To get started with Warlock-Studio:
- Run the installer and follow the setup instructions.
- Launch the application by opening
Warlock-Studio.exe. - Begin enhancing your images and videos with just a few clicks!
Warlock-Studio uses PyInstaller and Inno Setup for a seamless packaging and installation experience.
Key Features
-
State-of-the-Art AI Models Real-ESRGAN, SRGAN, BSRGAN, IRCNN, Waifu2x, Anime4K, RIFE, and others for denoising, resolution enhancement, detail restoration, and smooth frame interpolation.
-
AI Frame Interpolation & Slow Motion Generate new in-between frames using RIFE to create smooth 2x/4x/8x motion or dramatic slow-motion effects.
-
Batch Processing Simultaneously process multiple images or videos—ideal for large-scale media projects.
-
Customizable Workflows Choose your preferred AI model, output resolution, format (PNG, JPEG, MP4, etc.), and quality settings for full creative control.
-
Intuitive Interface Designed for both beginners and professionals—simple, clean, and efficient.
-
Open-Source & Extensible Licensed under the MIT License. Additional usage terms can be found in the NOTICE file.
How to Use
-
Run as Administrator (optional but recommended for optimal performance).
-
Load your media: select your images and videos into the app.
-
Configure settings:
- Select an AI Model (e.g., Real-ESRGAN, SRGAN, BSRGAN, IRCNN, Waifu2x, Anime4K, RIFE)
- Set the output resolution, file format, and toggle features such as interpolation or slow-motion
-
Start Processing: click "Make Magic" to begin enhancement.
-
Retrieve your files: processed outputs will be saved in your chosen destination folder.
Quality Comparison
Comparison of an enhanced image using the BSRGANx2 model
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 | GitHub |
| RealScaler | MIT | Djdefrag | GitHub |
| FluidFrames | MIT | Djdefrag | GitHub |
| Real-ESRGAN | BSD 3-Clause / Apache 2.0 | Xintao Wang | GitHub |
| RealESRGAN-G | BSD 3-Clause / Apache 2.0 | Xintao Wang | GitHub |
| RealESR-Anime | BSD 3-Clause / Apache 2.0 | Xintao Wang | GitHub |
| RealESR-Net | BSD 3-Clause / Apache 2.0 | Xintao Wang | GitHub |
| RIFE | Apache 2.0 | hzwer | GitHub |
| SRGAN | CC BY-NC-SA 4.0 (Non-Commercial) | TensorLayer Community | GitHub |
| BSRGAN | Apache 2.0 | Kai Zhang | GitHub |
| IRCNN | BSD / Mixed | Kai Zhang | GitHub |
| Anime4K | MIT | Tianyang Zhang (bloc97) | GitHub |
| ONNX Runtime | MIT | Microsoft | GitHub |
| PyTorch | BSD 3-Clause | Meta AI | GitHub |
| FFmpeg | LGPL-2.1 / GPL (varies) | FFmpeg Team | Official Site |
| ExifTool | Perl Artistic License 1.0 | Phil Harvey | Official Site |
| DirectML | MIT | Microsoft | GitHub |
| Python | Python Software Foundation (PSF) | Python Software Foundation | Official Site |
| PyInstaller | GPLv2+ | PyInstaller Team | GitHub |
| Inno Setup | Custom Inno License | Jordan Russell | Official Site |
Contributions
We warmly welcome community contributions!
- Fork this repository.
- Create a branch for your feature or fix.
- Submit a Pull Request with a detailed explanation of your changes.
For bug reports, feature suggestions, or inquiries, contact us at: 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 file.