284 lines
13 KiB
Markdown
284 lines
13 KiB
Markdown

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### Get Warlock-Studio Installer
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You can download the installer (latest version **2.2**) from any of this platforms:
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<table>
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<tr>
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<td align="center">
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<a href="https://sourceforge.net/projects/warlock-studio/files/latest/download">
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<img alt="Download Warlock-Studio" src="https://sourceforge.net/sflogo.php?type=18&group_id=3880091" width=200></a>
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</a>
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</td>
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<td align="center">
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<a href="https://drive.google.com/file/d/1nqlBuxZKsk3FX_nWUqUnDUKUTfMSfjB4/view?usp=sharing">
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<img src="rsc/google_drive-logo.png" alt="Download from Google Drive" />
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</a>
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</td>
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</tr>
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</table>
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### AI-Powered Media Enhancement & Upscaling Suite 2.2
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**Warlock-Studio** is a powerful **open-source desktop application** inspired by the remarkable work of [Djdefrag](https://github.com/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.
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---
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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.
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Version 2.2 introduces critical improvements focused on reliability and performance:
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- **Comprehensive Logging System** for easier debugging.
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- **Proactive Environment Validation** to prevent common errors.
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- **Resilient Video Encoding** with automatic codec and audio fallbacks.
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- **Aggressive Memory Management** and dynamic GPU VRAM recovery to handle long processing tasks without crashing.
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---
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## Interface Previews
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### 🔹 Main
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### 🔹 RIFE (Frame Interpolation) Options
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### 🔹 Icon App
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## 
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---
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## AI-Models Workflow
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### 🔹 RIFE
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### 🔹 Real-ESRGAN
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### 🔹 IRCNN
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### 🔹 BSRGAN
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---
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## 🛠️ Development Status — v2.2
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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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| **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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| **User Interface (UI/UX)** | 🟢 **Improved** | Updated color palette and faster start-up time. |
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| **GPU Management** | 🟢 **Optimized** | Dynamic VRAM error recovery and graceful hardware codec fallbacks. |
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| **Installer and Packaging** | 🟢 **Stable** | Easy-to-use installer for Windows platforms. |
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---
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## Recent Enhancements (v2.2)
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- ✅ **Stability Overhaul:** Major improvements in error handling, including a comprehensive logging system and proactive environment validation to prevent crashes.
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- ✅ **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.
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- ✅ **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.
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- ✅ **Critical Bug Fixes:** Resolved race conditions in video encoding and GUI status updates, ensuring process integrity and predictable behavior.
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- ✅ **Safe Thread Management:** Upgraded to ensure processes are terminated gracefully and system resources are properly cleaned up on exit.
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---
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## Project Structure
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```
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Warlock-Studio/
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├──AI-onnx/
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│
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└──├──BSRGANx2_fp16.onnx
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├──BSRGANx4_fp16.onnx
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├──IRCNN_Lx1_fp16.onnx
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├──IRCNN_Mx1_fp16.onnx
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├──RealESR_Animex4_fp16.onnx
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├──RealESR_Gx4_fp16.onnx
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├──RealESRGANx4_fp16.onnx
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├──RealESRNetx4_fp16.onnx
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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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├──Assets/
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│
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└──├──banner.png
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├──clear_icon.png
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├──exiftool.exe
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├──ffmpeg.exe
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├──ffmplay.exe
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├──ffmprobe.exe
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├──info_icon.png
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├──logo.ico
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├──logo.png
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├──stop_icon.png
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├──upscale_icon.png
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├──wizard-image.bmp
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└──wizard-small.bmp
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├──rsc/
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│
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└──├──badge-color.png
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├──Capture.png
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├──CaptureRIFE.png
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├──google_drive-logo.png
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├──WorkflowBSRGAN.png
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├──WorkflowIRCNN.png
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├──WorkflowRealESRGAN.png
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├──WorkflowRIFE.png
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└──Installation_window2.png
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├──Manual/
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│
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└──├──Manual_EN.pdf
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├──Manual_EN.tex
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├──Manual_ES.pdf
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└──Manual_ES.tex
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│
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├──CHANGELOG.md
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├──CODE_OF_CONDUCT.md
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├──CONTRIBUTING.md
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├──LICENSE
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├──License.txt
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├──NOTICE.md
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├──README.md # This File
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├──SECURITY.md
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├──Setup.iss
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├──Manual_ES.pdf
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├──Manual_EN.pdf
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├──Warlock-Studio.py # Main
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└──Warlock-Studio.spec
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```
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## Installation
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To get started with Warlock-Studio:
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1. **Run the installer** and follow the setup instructions.
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2. **Launch the application** by opening `Warlock-Studio.exe`.
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3. **Begin enhancing** your images and videos with just a few clicks\!
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Warlock-Studio uses [PyInstaller](https://www.pyinstaller.org/) and [Inno Setup](http://www.jrsoftware.org/isinfo.php) for a seamless packaging and installation experience.
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### 🔹 Installation Window
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## 
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## 
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---
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## Key Features
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- **State-of-the-Art AI Models**
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Real-ESRGAN, SRGAN, BSRGAN, IRCNN, Waifu2x, Anime4K, **RIFE**, and others for denoising, resolution enhancement, detail restoration, and smooth frame interpolation.
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- **AI Frame Interpolation & Slow Motion**
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Generate new in-between frames using RIFE to create smooth **2x/4x/8x** motion or dramatic slow-motion effects.
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- **Batch Processing**
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Simultaneously process multiple images or videos—ideal for large-scale media projects.
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- **Customizable Workflows**
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Choose your preferred AI model, output resolution, format (PNG, JPEG, MP4, etc.), and quality settings for full creative control.
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- **Intuitive Interface**
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Designed for both beginners and professionals—simple, clean, and efficient.
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- **Open-Source & Extensible**
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Licensed under the MIT License. Additional usage terms can be found in the [NOTICE](https://www.google.com/search?q=NOTICE.md) file.
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---
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## How to Use
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1. **Run as Administrator** (optional but recommended for optimal performance).
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2. **Load your media**: select your images and videos into the app.
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3. **Configure settings**:
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- Select an **AI Model** (e.g., Real-ESRGAN, SRGAN, BSRGAN, IRCNN, Waifu2x, Anime4K, RIFE)
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- Set the **output resolution**, **file format**, and toggle features such as **interpolation** or **slow-motion**
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4. **Start Processing**: click **"Make Magic"** to begin enhancement.
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5. **Retrieve your files**: processed outputs will be saved in your chosen destination folder.
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---
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## Quality Comparison
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**Comparison of an enhanced image using the BSRGANx2 model**
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---
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## System Requirements
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- **Operating System:** Windows 10 or later
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- **Memory (RAM):** Minimum 4 GB (8 GB or more recommended)
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- **Graphics Card:** NVIDIA or DirectML-compatible GPU highly recommended for performance
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- **Storage:** Sufficient disk space for input and output media files
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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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| RealESRGAN-G | BSD 3-Clause / Apache 2.0 | [Xintao Wang](https://github.com/xinntao) | [GitHub](https://github.com/xinntao/Real-ESRGAN) |
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| RealESR-Anime | BSD 3-Clause / Apache 2.0 | [Xintao Wang](https://github.com/xinntao) | [GitHub](https://github.com/xinntao/Real-ESRGAN) |
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| RealESR-Net | BSD 3-Clause / Apache 2.0 | [Xintao Wang](https://github.com/xinntao) | [GitHub](https://github.com/xinntao/Real-ESRGAN) |
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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 (Non-Commercial) | [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-2.1 / GPL (varies) | [FFmpeg Team](https://ffmpeg.org/) | [Official Site](https://ffmpeg.org) |
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| ExifTool | Perl Artistic License 1.0 | [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 | Python Software Foundation (PSF) | [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 Inno License | [Jordan Russell](http://www.jrsoftware.org/) | [Official Site](http://www.jrsoftware.org/isinfo.php) |
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---
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## Contributions
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We warmly welcome community contributions\!
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1. **Fork** this repository.
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2. **Create a branch** for your feature or fix.
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3. **Submit a Pull Request** with a detailed explanation of your changes.
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For bug reports, feature suggestions, or inquiries, contact us at: **[negroayub97@gmail.com](mailto:negroayub97@gmail.com)**
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**Warlock-Studio** merges cutting-edge artificial intelligence with a powerful yet accessible interface—empowering creators to elevate their media effortlessly.
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---
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## License
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© 2025 Iván Eduardo Chavez Ayub
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Distributed under the MIT License. Additional terms are available in the [NOTICE.md](https://www.google.com/search?q=NOTICE.md) file.
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