Warlock-Studio

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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