Name: Ballin (Vocals) | AI RVC Model
Brand: Weights
Rating: 4.0 (2 reviews)

Weight's groundbreaking "Ballin (Vocals) (RMVPE, 4625e, 37,000 steps)" RVC Model reconstructs the vocal essence of the hit song, 'Ballin' by Mustard featuring Roddy Ricch, establishing an indispensable tool for AI music creation. This exceptional model is the result of meticulous training on the full vocals from the FLAC audio file, segregated using BS Roformer, resulting in a pure, reverb-free output achieved with RX 10. Known for its excellent performance, this innovative AI model recreates the nuances of ballin-inspired music effectively. Whether you’re a music producer seeking to create AI covers that resonate or an AI enthusiast interested in text-to-speech conversion, our cutting-edge tools provide a seamless, free route to artificial intelligence capacities. Explore Weights’ AI tools suite today and break boundaries with your creative pursuits.

Supreme AI Hub brainrot Trained on the full vocals from Ballin' by Mustard (feat. Roddy Ricch). Used BS Roformer for the initial split from the FLAC, then used RX 10 to clean the audio and remove reverb. Model works great with ballin

Ballin (Vocals)

Ballin (Vocals) (RMVPE, 4625e, 37,000 steps)

unitedshoes

Trained on studio session files from Ye era (2017-2018) Model

Kanye West

Kanye West (Ye Era, RMVPE, 1900e, 24700 Steps)

Legendary computer virus guy RMVPE, 1000 epoch (17000 steps, began overfitting) 32k, Ov2-Super. Dataset was ~10 minutes long Model

danooct1

danooct1 (YouTuber) (RMVPE, 1000e, Ov2)

I LOVE LEAKY Trained on 27 minutes of YouTube videos from the Leaky Archives channel. He's pretty monotone but I tried to capture some emotion in the dataset. Model is best for speaking

Leaky Archives (Kanye leak YouTuber)

Leaky Archives (Kanye leak YouTuber) (RMVPE, 1100e, Ov2)

Dataset, voice and permission provided by @KitKatChomper [KFC] I deleted the logs and dataset a bit ago, so idk any model stats ngl Dataset what somewhere around 10 minutes of speaking/basically yelling. I remember the dataset was blown out pretty badly in some parts. This caused the "Aaa" consonant on higher and more aggressive tones to be noticeably louder than it should be (listen to the "uh oh" demo below). Model can sing but it's rough. Best for speaking inferences. Try moving your pitch up if it sounds bad. Model

Ballin (Vocals)

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