 Introducing our newest addition to the Weights family - the Marcus Holloway from Watch Dogs 2 RVC Model! This advanced AI voice model is designed using Retrieval-Based Voice Conversion (RVC) technology, allowing it to generate incredibly realistic and authentic sounding speech based on the original character. With a dataset size of 24 minutes, the Marcus Holloway model captures all of the nuances and inflections of the character's unique voice, providing users with a truly immersive experience.

Not only does this model excel at text-to-speech conversion, but it also has the capability to create AI covers of popular songs, making it a versatile tool for musicians, producers, and creatives alike. Imagine being able to produce music featuring the iconic voice of Marcus Holloway from Watch Dogs 2 - the possibilities are endless!

Our team of experienced developers have worked tirelessly to ensure that every aspect of this RVC Model meets the highest standards of quality and accuracy. From pitch extraction using RMVPE-CPU to seamless integration into your workflow, we've thought of everything so you don't have to.

At Weights,

Model stats: Dataset size: 24 Minutes Pitch Extraction: RMVPE-CPU (For some reason, RMVPE-GPU doesn't want to work on Applio fork since latest update and cause errors) Epoch: 200 Steps: 6,660k

New Creation

Marcus Holloway from Watch Dogs 2

Audio