GPTunneL launched the music AI model Grom Zvuk

The GPTunneL platform on September 18 presented its own music neural network called Grom Zvuk. The development is aimed at eliminating the limitations of popular foreign analogs, in particular, solving the problem of impossibility of editing text in already generated compositions.

The model operates on the company's own servers and is focused on creating high-quality music tracks and covers. The developers claim that the system architecture allows users to make changes to the structure and text content of audio files at the post-processing stage, which was previously unavailable in most popular music generation services.

The technical implementation of Grom Zvuk includes optimized audio processing algorithms that provide more flexible control over generation. The tool is integrated into the GPTunneL ecosystem, allowing aggregator users to use the model within a single interface. The cost of using the service is stated to be more affordable compared to Western competitors.

The launch of its own model was a response to the community's request after the removal of several versions of the Suno models. The transition to internal resources allows developers to control the life cycle of algorithms and provide users with access to tools that will not be suddenly recalled or limited in functionality.