{"id":28493147,"url":"https://github.com/ivan-ayub97/warlock-studio","last_synced_at":"2026-03-10T02:02:21.656Z","repository":{"id":293798069,"uuid":"985151244","full_name":"Ivan-Ayub97/Warlock-Studio","owner":"Ivan-Ayub97","description":"Suite for Windows with Real-ESRGAN, RealESRNet, RealESRAnime, BSRGAN , IRCNN, GFPGAN \u0026 RIFE. 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banner](Assets/banner.png)\r\n\r\n\u003cdiv align=\"center\"\u003e\r\n\r\n![Platform](https://img.shields.io/badge/Platform-Windows_10_%7C_11-003B6F?style=for-the-badge\u0026logo=windows\u0026logoColor=FFD43B\u0026labelColor=1B1818)\r\n![Python](https://img.shields.io/badge/Python-3.10%2B-FFD43B?style=for-the-badge\u0026logo=python\u0026logoColor=FFD43B\u0026labelColor=1B1818)\r\n![License: MIT](https://img.shields.io/badge/License-MIT-0A3B1E?style=for-the-badge\u0026logo=open-source-initiative\u0026logoColor=FFD43B\u0026labelColor=1B1818)\r\n\r\n[![Last Commit](https://img.shields.io/github/last-commit/Ivan-Ayub97/Warlock-Studio?style=for-the-badge\u0026logo=git\u0026color=6A1B9A\u0026logoColor=FFD43B\u0026labelColor=1B1818)](https://github.com/Ivan-Ayub97/Warlock-Studio/commits/main)\r\n![Version 6](https://img.shields.io/badge/Version-6.0-660066?style=for-the-badge\u0026logo=tag\u0026logoColor=FFD43B\u0026labelColor=1B1818)\r\n\r\n[![Downloads Total](https://img.shields.io/github/downloads/Ivan-Ayub97/Warlock-Studio/total?style=for-the-badge\u0026logo=github\u0026color=2E2E2E\u0026labelColor=1B1818\u0026logoColor=FFD43B)](https://github.com/Ivan-Ayub97/Warlock-Studio/releases)\r\n[![SF Downloads](https://img.shields.io/sourceforge/dt/warlock-studio?style=for-the-badge\u0026logo=sourceforge\u0026color=C45500\u0026logoColor=FFD43B\u0026labelColor=1B1818)](https://sourceforge.net/projects/warlock-studio/)\r\n\r\n\u003cbr\u003e\r\n\r\n**Warlock Studio** is a unified platform for **upscaling, restoring, denoising, and interpolating frames in videos and images.**\r\nIt is inspired by and based on [Djdefrag](https://github.com/Djdefrag) tools such as **QualityScaler** and **FluidFrames**.\r\n\r\n---\r\n\r\n## 📥 \u003cspan style=\"color:#FFD700;\"\u003eDownload Installer\u003c/span\u003e\r\n\r\n\u003cdiv align=\"center\"\u003e\r\n  \u003cp style=\"color:#ccc; font-size:14px; line-height: 1.6;\"\u003e\r\n    This installer was built using \u003cb\u003ePyInstaller\u003c/b\u003e and \u003cb\u003eInno Setup\u003c/b\u003e.\u003cbr\u003e\r\n    By default, it includes \u003cb\u003eDirectML\u003c/b\u003e support to ensure maximum compatibility with any graphics card (NVIDIA/AMD/INTEL).\r\n  \u003c/p\u003e\r\n  \u003cp style=\"color:#ccc; font-size:14px; margin-top: 15px;\"\u003e\r\n    Select your preferred option to download the latest version (Direct Release/SourceForge):\r\n  \u003c/p\u003e\r\n\u003c/div\u003e\r\n\r\n\u003ctable style=\"width:100%; border-collapse:collapse;\"\u003e\r\n  \u003ctr\u003e\r\n    \u003c/td\u003e\r\n    \u003ctd align=\"center\" style=\"vertical-align:top; padding:10px;\"\u003e\r\n      \u003ca href=\"https://github.com/Ivan-Ayub97/Warlock-Studio/releases/download/v6.0/Warlock-Studio-6.0x64.exe\"\u003e\r\n        \u003cimg src=\"rsc/GitHub_Logo_WS.png\" alt=\"Download from GitHub\"\r\n             width=\"300\" style=\"display:block; margin:auto; margin-bottom:10px;\" /\u003e\r\n      \u003c/a\u003e\r\n    \u003ctd align=\"center\" style=\"vertical-align:top; padding:px;\"\u003e\r\n      \u003ca href=\"https://sourceforge.net/projects/warlock-studio/\" target=\"_blank\"\u003e\r\n        \u003cimg src=\"https://sourceforge.net/cdn/syndication/badge_img/3880091/oss-rising-star-black\"\r\n             alt=\"Warlock-Studio on SourceForge\"\r\n             width=\"190\" style=\"display:block; margin:auto; margin-bottom:1px;\" /\u003e\r\n      \u003c/a\u003e\r\n    \u003c/td\u003e\r\n  \u003c/tr\u003e\r\n\u003c/table\u003e\r\n\r\n---\r\n\r\n## 🆕 New in v6.0 — Process Chaining\r\n\r\n- Create multi-step pipelines; order steps to run sequentially per file.\r\n- RIFE interpolation integrates as a chain step for video sources (graceful skip on images).\r\n- Per-step model selection via a combobox fed by auto-discovered ONNX models in `AI-onnx/`.\r\n- Automatic output routing: intermediate steps use temp folders; the final step writes to your chosen output path.\r\n- Smart extension/codec correction by media type to prevent invalid outputs.\r\n- Memory-safe execution with per-step VRAM tile sizing and cleanup between steps.\r\n\r\n---\r\n\r\n## 🖼️ Interface Capture\r\n\r\n[Capture.webm](https://github.com/user-attachments/assets/3038b58f-f671-4de4-8e14-169329859632)\r\n\r\n![UICapture](rsc/Capture2.png)\r\n![UICapture](rsc/Capture3.png)\r\n\r\n---\r\n\r\n## 🔍 Quality Comparison\r\n\r\n[WsvideovsGit3.webm](https://github.com/user-attachments/assets/1326f86a-614e-40ae-b3a9-44ae15f648c6)\r\n\r\n[WsvideovsGit.webm](https://github.com/user-attachments/assets/c72f389d-827e-49b9-91b7-fd13e5b59f22)\r\n\r\n[WsvideovsGit2.webm](https://github.com/user-attachments/assets/6695cce2-f42f-4955-8b43-56ec6d7b0bd2)\r\n\r\n---\r\n\r\n## ✨ Key Features\r\n\r\n- **AI Upscaling \u0026 Restoration** – Utilize **Real-ESRGAN, BSRGAN, RealESRNet, RealESR_Animex4, and IRCNN** models for denoising, super-resolution, and detail recovery.\r\n- **Face Restoration (GFPGAN)** – Recover facial details from low-resolution or blurry images and video frames.\r\n- **Frame Interpolation (RIFE)** – Smooth motion or generate slow-motion content with **2×, 4×, or 8× interpolation**.\r\n- **Process Chaining** – Build sequential workflows by chaining steps. Mix **upscaling**, **face restoration**, and **interpolation**; each step’s output becomes the next step’s input automatically. Includes model auto-discovery, per-step GPU/codec settings, and smart validation (e.g., RIFE requires video).\r\n- **Advanced Hardware Acceleration** – Intelligent provider selection prioritizes **CUDA**, falls back to **DirectML**, and finally **CPU** for maximum compatibility.\r\n- **Batch Processing** – Process multiple media files simultaneously, saving time and effort.\r\n- **Custom Workflows** – Fine-grained control over models, resolution, output formats, and quality parameters.\r\n- **Open-Source \u0026 Extensible** – Fully MIT licensed, for contributors and developers.\r\n\r\n---\r\n\r\n## 🖥️ System Requirements\r\n\r\n\u003cdiv align=\"center\"\u003e\r\n\r\n| \u003cspan style=\"color: #FBC02D;\"\u003eComponent\u003c/span\u003e | \u003cspan style=\"color: #FBC02D;\"\u003eMinimum Specification\u003c/span\u003e | \u003cspan style=\"color: #FBC02D;\"\u003eRecommended Specification\u003c/span\u003e |\r\n| :--- | :--- | :--- |\r\n| **OS** | Windows 10 (64-bit) | Windows 11 (64-bit) |\r\n| **RAM** | 8 GB | 16 GB+ (Required for 4K \u0026 High-FPS Video) |\r\n| **GPU** | DirectX 12 Compatible (DML) / NVIDIA GTX 10-Series | NVIDIA RTX 3060+ / AMD RX 6000+ |\r\n| **VRAM** | 4 GB | 8 GB - 12 GB+ (For Stable Diffusion/Video Interpolation) |\r\n| **Storage** | 2 GB available space | SSD (Critical for RIFE \u0026 Temp Video Processing) |\r\n| **Architecture** | x64 | x64 (Native DirectML Support) |\r\n\r\n\u003c/div\u003e\r\n\r\n\u003e **Performance Tip:** Given that **Warlock Studio** leverages **DirectML** for hardware acceleration, keeping your GPU drivers updated is essential for maximizing processing speed across NVIDIA, AMD, and Intel hardware.\r\n\r\n---\r\n\r\n## 🤝 Contributions\r\n\r\nWe welcome contributions from the community.\r\n\r\n📧 Contact: **[negroayub97@gmail.com](mailto:negroayub97@gmail.com)**\r\n\r\n---\r\n\r\n## 📜 License \u0026 Credits\r\n\r\n© 2025 **Iván Eduardo Chavez Ayub**\r\n\u003cbr\u003eLicensed under **MIT**. Additional terms and attributions are provided in **NOTICE.md**.\r\n\r\n### 📊 Integrated Technologies \u0026 Licenses\r\n\r\n| Technology / Model | License | Author / Maintainer | Source |\r\n| :--- | :--- | :--- | :--- |\r\n| **Real-ESRGAN** | BSD 3-Clause | Xintao Wang | [GitHub](https://github.com/xinntao/Real-ESRGAN) |\r\n| • RealESRGANx4 | BSD 3-Clause | Xintao Wang | Same as above |\r\n| • RealESRNetx4 | BSD 3-Clause | Xintao Wang | Same as above |\r\n| • RealESR_Gx4 | BSD 3-Clause | Xintao / Community | Same as above |\r\n| • RealESR_Animex4 | BSD 3-Clause | Community | Same as above |\r\n| **BSRGAN** | Apache 2.0 | Kai Zhang | [GitHub](https://github.com/cszn/BSRGAN) |\r\n| • BSRGANx4 | Apache 2.0 | Kai Zhang | Same as above |\r\n| • BSRGANx2 | Apache 2.0 | Kai Zhang | Same as above |\r\n| **IRCNN** | BSD / Mixed | Kai Zhang | [GitHub](https://github.com/cszn/IRCNN) |\r\n| • IRCNN_Mx1 | BSD / Mixed | Kai Zhang | Same as above |\r\n| • IRCNN_Lx1 | BSD / Mixed | Kai Zhang | Same as above |\r\n| **GFPGAN** | Apache 2.0 | TencentARC | [GitHub](https://github.com/TencentARC/GFPGAN) |\r\n| **RIFE** | MIT | Hzwer / Megvii | [GitHub](https://github.com/megvii-research/ECCV2022-RIFE) |\r\n| **QualityScaler** | MIT | Djdefrag | [GitHub](https://github.com/Djdefrag/QualityScaler) |\r\n| **FluidFrames** | MIT | Djdefrag | [GitHub](https://github.com/Djdefrag/FluidFrames) |\r\n| **DirectML** | MIT | Microsoft | [GitHub](https://github.com/microsoft/DirectML) |\r\n| **ONNX Runtime** | MIT | Microsoft | [GitHub](https://github.com/microsoft/onnxruntime) |\r\n| **CustomTkinter** | MIT | Tom Schimansky | [GitHub](https://github.com/TomSchimansky/CustomTkinter) |\r\n| **TkinterDnD2** | MIT | pmgagne | [GitHub](https://github.com/pmgagne/tkinterdnd2) |\r\n| **OpenCV (cv2)** | Apache 2.0 | OpenCV Team | [Official Site](https://opencv.org/) |\r\n| **NumPy** | BSD 3-Clause | NumPy Developers | [Official Site](https://numpy.org/) |\r\n| **Pillow (PIL)** | HPND | Python-Pillow Team | [GitHub](https://github.com/python-pillow/Pillow) |\r\n| **MoviePy** | MIT | Zulko | [GitHub](https://github.com/Zulko/moviepy) |\r\n| **FFmpeg** | LGPL / GPL | FFmpeg Team | [Official Site](https://ffmpeg.org) |\r\n| **ExifTool** | Artistic | Phil Harvey | [Official Site](https://exiftool.org/) |\r\n| **Psutil** | BSD 3-Clause | Giampaolo Rodola | [GitHub](https://github.com/giampaolo/psutil) |\r\n| **WMI** | MIT | Tim Golden | [GitHub](https://github.com/tjguk/wmi) |\r\n| **GPUtil** | MIT | Anders Krogh | [GitHub](https://github.com/anderskm/gputil) |\r\n| **Requests** | Apache 2.0 | Kenneth Reitz | [GitHub](https://github.com/psf/requests) |\r\n| **Packaging** | Apache 2.0 | PyPA | [GitHub](https://github.com/pypa/packaging) |\r\n| **Natsort** | MIT | Seth M. Morton | [GitHub](https://github.com/SethMMorton/natsort) |\r\n| **Python** | PSF License | Python Software Foundation | [Official Site](https://www.python.org) |\r\n| **PyInstaller** | GPLv2+ | PyInstaller Team | [GitHub](https://github.com/pyinstaller/pyinstaller) |\r\n| **Inno Setup** | Custom | Jordan Russell | [Official Site](http://www.jrsoftware.org/isinfo.php) |\r\n\r\n\r\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fivan-ayub97%2Fwarlock-studio","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fivan-ayub97%2Fwarlock-studio","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fivan-ayub97%2Fwarlock-studio/lists"}