IK Multimedia TONEX Hyde Street Collections: Amp Locker - Electronic Delivery

IK Multimedia are excited to bring the IK Multimedia TONEX Hyde Street Collections: Amp Locker. This collection includes many of their go-to amps used on countless records and some eclectic gems that’ll add spice to your sound. Hyde Street Amp Locker is a curated collection of 14 amplifiers used on countless classic albums. Veteran studio engineer Jaimeson Durr captured these amps at the legendary Hyde Street Studios in San Francisco exclusively for TONEX users, bringing the historic and unparalleled tones of the iconic “San Francisco sound” directly to your gear locker. All Tone Models were captured using Hyde Street Studios’ prized recording equipment, including a Neve 8038 console (installed by Rupert Neve himself), 1084 Preamp/EQ, CAPI VP28 mic preamps, API 550a EQ and an array of classic studio mics. The results are 20 Tone Models encapsulating the legendary studios’ sound. Hyde Street Amp locker is an eclectic mix of tones that offers players and engineers a rich palette to use live and in the studio.

IK MULTIMEDIA TONEX HYDE STREET COLLECTIONS: AMP LOCKER FEATURES:

• 20 Tone Models based on 14 amps from Hyde Street Studios private collection
• Captured by veteran Jaimeson Durr at Hyde Street Studios with legendary gear
• Using AI Machine Modeling technology with advanced training
• Use across the entire TONEX ecosystem, including the free TONEX CS
• Play inside TONEX app, your favorite DAW, or live with TONEX Pedal and TONEX ONE

SYSTEM REQUIREMENTS:

• TONEX application for Mac/PC

Mac

• Intel: Intel Core i3 (Core i5 recommended for Modeler), macOS 10.15 (macOS 11 Big Sur required for Modeler), 4 GB of RAM, 6 GB of hard drive space
• Apple Silicon: Apple M1, macOS 11, 4 GB of RAM, 6 GB of hard drive space. TONEX is a native Apple Silicon application
• Supported Plug-in formats : Audio Units, VST 3, AAX

Windows

• Intel: Intel Core i3 or equivalent CPU (Core i5 recommended for Modeler), Windows 10, 4 GB of RAM, 6 GB of hard drive space, NVIDIA GPU with Maxwell or newer architecture is recommended to reduce training times (eg. GeForce GT 750 or higher)
• Supported Plug-in formats (64-bit): VST 3, AAX.