Distortion Types
0xDrive includes 16 distortion algorithms across three categories: Classic DSP, GIMZWARE Proprietary, and Neural Amp Models.
CLASSIC DSP
Analog-Modeled Algorithms
Six fundamental distortion algorithms built from classical DSP waveshaping techniques. Each targets a specific analog circuit topology using real-time mathematical models that run without oversampling overhead.
Tube
Warm vintage saturation modelled on vacuum tube behaviour. Uses tanh waveshaping with a 2nd harmonic enhancement stage that adds even-order harmonic content for natural musical warmth. Drive range of 1x-21x into saturation.
tanh + 2nd harmonic
Tape
Magnetic tape saturation with smooth arctangent compression. Includes a tape head bump simulation that naturally warms the low mids without explicit EQ. The gentlest of the classic algorithms - always musical.
atan + head bump
Transistor
Solid-state asymmetric clipping with an edgy, aggressive character. The positive and negative half-cycles clip differently, producing odd harmonics and a pronounced grit at higher drive settings.
asymmetric exponential clip
Fuzz
Full-destruction fuzz with extreme cubic soft-clip and sputtery buzz. At high drive levels, hard clipping kicks in for a compressed, sustain-rich wall of sound with a rectification buzz characteristic of vintage fuzz circuits.
cubic soft-clip + rectifier grit
Wavefold
Wavefolding synthesis-style distortion that generates complex harmonic spectra by folding the waveform back on itself. The number of fold stages increases with drive, producing progressively richer and more inharmonic content.
multi-stage triangle fold
Bitcrush
Digital bit-depth reduction and sample-rate decimation. Drive simultaneously reduces bit depth (16 bits down to 2) and increases the hold-sample decimation factor, creating the lo-fi aliasing and staircase quantization artifacts of vintage digital hardware.
quantization + sample hold
GIMZWARE PROPRIETARY
Mark of the Beast Exclusives
Six GIMZWARE-exclusive algorithms built on modern DSP research. These are not emulations - they are GIMZWARE's unique sonic signatures built on techniques including ADAA alias-free waveshaping, circuit-accurate modelling, and the proprietary HEAT harmonic enhancement layer.
G.TUBE
GIMZ HornGIMZWARE's premier tube algorithm built on the Koren 12AX7 triode model - one of the most mathematically accurate vacuum tube simulations available. Enhanced with GIMZWARE HEAT, our proprietary harmonic enhancement layer that adds controlled even-order warmth and presence beyond what standard tube emulation achieves.
Koren triode + ADAA + HEAT
G.TAPE
GIMZ HoofAdvanced tape saturation based on a simplified Jiles-Atherton magnetic hysteresis model. Captures the true nonlinear magnetization curve of tape - including the direction-dependent lag between input and output - for authentic compression and saturation that responds differently on the way up versus the way down.
Jiles-Atherton hysteresis
G.SCRM
GIMZ GoreCircuit-accurate feedback clipping modelled on the TS808 op-amp topology, where silicon diodes sit inside the amplifier's feedback loop. Produces the characteristic mid-forward, asymmetric clipping of the original circuit with screaming harmonic edge at higher drive settings.
TS808 feedback topology + ADAA
G.FUZZ
GIMZ FangMulti-stage cascaded germanium transistor saturation modelled on PNP Fuzz Face topology with temperature-dependent bias drift. Two cascaded stages build sustain progressively, and the simulated bias drift adds the unpredictable sputtering character that makes vintage germanium fuzz pedals so sought-after.
PNP germanium cascade + bias drift
G.GLAS
GIMZ ClawTransparent multi-band harmonic exciter that adds controlled harmonic content without obvious coloration. Three frequency bands are processed independently - low, mid, and high - with an envelope follower that dynamically shapes the excitation amount, keeping the result musical at any input level.
multi-band harmonic exciter + envelope
G.CRSH
GIMZ TailIron-core transformer saturation modelled using a modified Langevin function. Captures the low-frequency intermodulation and asymmetric soft-limiting that occurs when audio transformers are driven into magnetic saturation - the warmth of analog studio console transformers pushed hard.
Langevin transformer saturation
ADAA: All GIMZWARE algorithms use Antiderivative Antialiasing where applicable. ADAA eliminates aliasing artifacts mathematically without requiring oversampling, keeping CPU usage low while producing pristine output at any sample rate.
NEURAL AMP MODELS
RTNeural LSTM Inference
Four neural amp models running RTNeural compile-time LSTM inference (input 1 to hidden 40 to output 1). Three models are bundled and trained by GIMZWARE on real hardware using the gimzware-forge pipeline. The fourth slot accepts user-loaded models.
NeuralSkull
0xBEA57A heavy, aggressive amp model trained on high-gain tube hardware. The LSTM network captures the complete nonlinear behaviour of the amp including power-stage compression, cathode follower interaction, and speaker response, producing thick sustain and a scooped mid-range that cuts through dense mixes.
NeuralSpine
0xD2197EA tight, focused drive model trained to capture the backbone of classic rock and modern high-gain tones. Emphasizes the mid-range and delivers precise pick articulation at lower drive levels, opening up into a full compressed saturation when pushed. The LSTM hidden state tracks transient dynamics across buffer boundaries for continuous response.
NeuralVenom
0xD1570R7A searing lead tone with exceptional sustain and harmonic bloom. Trained on the preamp stage of a high-gain head known for its vocal lead quality. NeuralVenom produces the long-release compression and upper harmonic sizzle that makes single-note lines sing at any tempo.
NeuralSoul
0x534F554CWarm, musical breakup with dynamic sensitivity. Trained on a vintage low-wattage all-tube combo pushed into natural power-amp compression. Neural Soul responds convincingly to input level - soft playing produces clean, harmonically rich tones while harder picking or higher Input Gain drives it into saturated breakup. The most touch-responsive neural model.
NeuralSoul: Load any RTNeural-compatible JSON model file trained with the LSTM 1-40-1 topology. Models trained with gimzware-forge export directly to the correct format. Third-party captures in the same architecture are also supported.
Choosing a Distortion Type
The type selector in the centre of the plugin displays the short identifier (e.g. G.SCRM). Click the arrows or scroll the selector to cycle through all 16 types. The transfer curve display updates in real time to show the input/output relationship for the active algorithm.
General Guidelines
- For gentle saturation and warmth, start with TUBE or G.TUBE
- For natural-sounding compression and glue, use TAPE or G.TAPE
- For edge and presence on guitars, try TRNS or G.SCRM
- For heavy distortion and amp tones, use the Neural models or G.FUZZ
- For creative and synthesis-style textures, explore FOLD, BITS, and G.CRSH
- For transparent harmonic enrichment without obvious distortion, use G.GLAS