Sci-fi by name but incredibly realistic by nature – our intelligent circuit modeling process uses machine learning technology to reproduce the behavior of hardware devices from the ground up. Add analog warmth with four new lo-fi components, perfect for adding texture to any track.Įxplore fresh amp and pedal additions powered by machine learning (ICM) and easy-to-use processing tools that open up endless possibilities for jamming, producing, and getting lost in experimentation.Įxperience a whole new level of depth and realism with our virtual guitar amps. Get instant flavor with over 100 new rack presets, or mix and match modules to sculpt your own tones. Spark your creativity with Guitar Rig 7 Pro – an inspiration suite filled with sought-after guitar and bass amp simulators, studio effects, and pedals. KNOWN ISSUE Some HiDPI configurations on Windows can result in jittery controls inside a DAW.Native Instruments Guitar Rig 7 Pro v7.0.1 Windows IMPROVED All fixed components are no longer shown on first startįIXED Hover state issues in Pro Tools on MacįIXED Removed empty hover area on Tapedeck PostįIXED VC76 some ratio modes weren't selectable via mouse clickįIXED VC76 VU meter scale upper numbers weren't showingįIXED VST3 didn't appear correctly in Digital PerformerįIXED AU mono loading error in Digital Performer 11įIXED Rare crash on startup related to GR3 presetsįIXED Dragging files from the OS into Guitar Rig caused slowdownįIXED Undoing and redoing an insertion into a container bypassed some components The latest manual is available for download on the GUITAR RIG 6 webpages.ĪDDED Total latency is now reported correctly for zero latency components, for all sample rates To choose your soundcard, select the audio tab in the preferences. Please run the GUITAR RIG 6 standalone application after installation to ensure correct behavior. Unlimited amounts of warmth, grit, crunch and fuzz, plus all the effects you could ever need. Native Instruments Guitar Rig 6 Pro v6.4.0 CE-V.Rīack with a new look, new amps, new effects, and new machine learning technology to model state-of-the-art hardware.
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