These docs cover our audio plugins. Looking for SMELT Studio, our multi-agent AI platform? Read the SMELT Studio docs.
GIMZWARE Documentation
Complete guides for GIMZWARE audio plugins - installation, usage, and troubleshooting.
Quick Start Guide
Get up and running with StemX or 0xDrive in under 5 minutes
Installation
Platform-specific installation instructions
StemX Guide
Learn how to use StemX for real-time stem separation
Troubleshooting
Solutions to common issues
Our Plugins
GIMZWARE builds professional-grade audio plugins powered by custom AI models. Our current lineup includes StemX for AI stem separation, with more products on the way.
StemX is our AI-powered audio plugin for real-time stem separation. Using a custom ONNX AI model, StemX can separate any audio into six stems: Vocals, Drums, Bass, Guitar, Piano, and Other instruments - all in real-time with GPU acceleration.
0xDrive is our professional overdrive and distortion plugin featuring 16 algorithms: 6 classic DSP types (Tube, Tape, Transistor, Fuzz, Wavefold, Bitcrush), 6 GIMZWARE proprietary modes, and 4 neural amp models trained on real hardware. Up to 16x oversampling for pristine high-gain tones.
Key Features
- Real-time Processing: Process audio in real time with GPU acceleration and a configurable live-mode latency window
- High-Quality Separation: Custom ONNX model delivering studio-grade stem isolation
- GPU Acceleration: Full support for CUDA (NVIDIA), DirectML (Windows), and CoreML (Apple Silicon)
- Multiple Formats: Available as VST3, AU, and standalone application (AAX coming soon)
- 100% Offline: Works without internet connection after installation - your audio never leaves your machine
- Two Operating Modes: Live mode for real-time DAW processing, File mode for loading and exporting stems
System Requirements
WINDOWS
- Windows 10/11 (64-bit)
- Intel i5 / AMD Ryzen 5 or higher
- 8 GB RAM minimum
- NVIDIA GTX 1060+ for GPU acceleration
- VST3 compatible host
macOS
- macOS 12 Monterey or later
- Intel or Apple Silicon (Universal Binary)
- 8 GB RAM minimum
- CoreML acceleration on Apple Silicon
- VST3 / AU compatible host
Getting Help
If you can't find what you're looking for in this documentation, please reach out to our support team at [email protected] or visit our Support page.