- Fazertone introduces Neural Drumkit Lite, a complimentary version of its AI-driven drum machine plugin.
- Full version available at $49.99 (usually $129.99) for a limited time, featuring advanced Neural Editor for precise control.
- Lite version offers generative AI model, limited to kicks, snares, and closed hi-hats.
- Plugin operates locally, enabling offline sample generation and manipulation.
- Streamlined workflow with quick sample generation and post-effect adjustments.
- Ability to copy and paste samples for enhanced versatility.
- Future updates promise additional features like save/load drumkits and stereo output.
- Compatible with AU and VST3 formats for macOS and Windows platforms.
Main AI News:
Fazertone recently introduced Neural Drumkit Lite, a no-cost iteration of its acclaimed Neural Drumkit, an AI-infused drum machine plugin compatible with both macOS and Windows operating systems.
But before delving into the details of this complimentary offering, it’s worth noting that the full version of Neural Drumkit is presently accessible at a special early access rate of $49.99, marked down from its usual $129.99 price tag, for a limited period.
The complete edition boasts a Neural Editor, empowering users with advanced manipulation capabilities over the AI-generated results. This editor facilitates adjustments to parameters such as Sub Power, Noise, Bounce, and Aftershock, affording a level of control unprecedented in similar products. Notably, these features are absent in Neural Drumkit Lite. Therefore, for enthusiasts of the Lite version contemplating an upgrade, seizing this offer promptly is advisable.
Neural Drumkit Lite retains the same generative AI model as its premium counterpart, albeit with limitations restricted to kicks, snares, and closed hi-hats, while the full version encompasses a broader spectrum including claps, toms, open hi-hats, and more.
Visually, the freebie mirrors the paid variant, featuring a classic sixteen-pad drum machine interface, ensuring familiarity and ease of use for both novice and seasoned users alike.
Setting it apart from many AI-driven plugins, Neural Drumkit Lite operates directly on users’ local machines, eschewing reliance on cloud infrastructure. This local functionality grants users the flexibility to generate samples offline at their convenience, without tethering to online connectivity.
The workflow within Neural Drumkit Lite is streamlined and efficient. Users select their desired target (be it a kick, snare, etc.) from the dropdown menu, initiate the generation process, and receive results within seconds. Should the initial output fall short of expectations, users can promptly generate a new sample, either entirely random or resembling the existing one through the Similar/Random slider.
Following sample generation, users can fine-tune their creations using the post-effects section, equipped with controls for Gain, Fade In/Out, Pan Clip, and a Low-Pass Filter, enabling precise adjustments to achieve desired sonic outcomes.
Moreover, a noteworthy feature of Neural Drumkit Lite is the ability to seamlessly copy and paste samples across different keys, facilitating the creation of multiple iterations with distinct post-effect configurations, ideal for layering and adding dynamism to compositions.
For those intrigued by AI-powered plugins, GainAimPro by Noiseworks is another recent addition worth exploring.
Looking ahead, Fazertone teases forthcoming enhancements for Neural Drumkit, including functionalities like save/load drumkits, stereo output, and expanded generation options, promising an even more immersive and customizable user experience.
Neural Drumkit Lite is compatible with AU and VST3 formats, catering to users on macOS (10.14 upwards) and Windows (7, 8, or 10 64-bit) platforms.
Conclusion:
Fazertone’s release of Neural Drumkit Lite not only expands accessibility to AI-powered music production tools but also sets a benchmark for efficiency and innovation in the market. Its combination of advanced features, user-friendly interface, and affordability positions it as a compelling option for both amateur and professional musicians, signaling a promising future for AI integration in music technology.
