v6.0.
Warlock-Studio is a Windows application that uses Real-ESRGAN, BSRGAN, IRCNN, GFPGAN, RealESRNet, RealESRAnime and RIFE Artificial Intelligence models to upscale, restore faces, interpolate frames and reduce noise in images and videos.
the application supports GPU acceleration (including multi-GPU setups) and offers batch processing for large workloads.
It includes drag-and-drop handling for single or multiple files, optional pre-resize functions, and an automatic tiling system designed to overcome GPU VRAM limitations.

Features

  • AI Upscaling & Restoration – Utilize Real-ESRGAN, BSRGAN, and IRCNN models for denoising, super-resolution, and detail recovery.
  • Face Restoration (GFPGAN) – Recover facial details from low-resolution or blurry images and video frames.
  • Frame Interpolation (RIFE) – Smooth motion or generate slow-motion content with 2×, 4×, or 8× interpolation.
  • Advanced Hardware Acceleration – Intelligent provider selection prioritizes CUDA, falls back to DirectML, and finally CPU for maximum compatibility and performance.
  • Batch Processing – Process multiple media files simultaneously, saving time and effort.
  • Custom Workflows – Fine-grained control over models, resolution, output formats, and quality parameters.
  • Open-Source & Extensible – Fully MIT licensed, for contributors and developers.
  • Integrated Debug Console: A real-time GUI terminal that intercepts stdout and stderr with syntax highlighting, allowing users to diagnose FFmpeg or ONNX issues instantly.
  • A new diagnostic subsystem that scans CPU topology, RAM, and GPU VRAM to automatically recommend optimal tiling and thread settings.
  • Create multi-step pipelines that run sequentially per file, including integrated RIFE interpolation for videos (auto-skips images). Each step supports independent model selection (auto-detected ONNX models), automatic temp routing for intermediates, smart extension/codec correction, and memory-safe execution with per-step VRAM optimization and cleanup.

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License

MIT License

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Additional Project Details

Operating Systems

Windows

Languages

English

Intended Audience

End Users/Desktop

User Interface

CUDA, DirectX, OpenGL, Qt

Programming Language

Python

Related Categories

Python Image Upscalers, Python Video Upscalers, Python AI Models

Registered

2025-05-27