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Introducing our latest RVC V2 Model, inspired by the talented Argentine rapper and singer Cazzu. This advanced AI voice model has been trained on 500 epochs, resulting in highly accurate text-to-speech capabilities. The model is perfect for creating AI covers and experimenting with AI music. With its realistic sound and expressive tone, it's just like having your very own digital version of Cazzu! Give it a try and bring your musical ideas to life using our free AI tools. Trust us, you won't be disappointed.

Model by Extraction: Harvest 200 Epochs: 500 Epochs: This is not my model of course yes. You should credit to him on for this. He was working the models too. Recommended to Use Index Ratio 1.0. If voice crack happens, Use Harvest instead of Mangio-Crepe.

Cazzu

Cazzu (RVC V2) (500 Epochs)

CrimsonZockt

Samuel Arroyave

Trained on Applio Locally OG Pretrain, Sample Rate 48k, contentvec Embedder, HifiGAN Vocoder, Batch Size 4, FP16 Precision, And 18 Minutes Dataset (Album) Index Ratio 1.0 Recommended Credit to me On Youtube (@FuturisticLabelAI) & Tiktok (@futuristiclabelai)

Julia Posnik (Egoistka Era)

Julia Posnik (Egoistka Era) (RVC V2) (RMVPE) (350 Epochs)

Trained on Applio Locally I decided to on the version v3! This old one must be promise OG Pretrain, Sample Rate 48k, contentvec Embedder, HifiGAN Vocoder, Batch Size 4, FP16 Precision, And 9 Minutes Dataset (All Singles and so on) Index Ratio 1.0 Recommended Credit to me On Youtube (@FuturisticLabelAI) & Tiktok (@futuristiclabelai)

Blanka Stajkow (All-Round)

Blanka Stajkow (All-Round) (RVC V2) (RMVPE) (300 Epochs)

Trained on Applio Locally One Song "SMUTNO MI" had cutoff 16hz so, I used AudioSR. I don't use AudioSR because sucks! OG Pretrain, Sample Rate 48k, contentvec Embedder, HifiGAN Vocoder, Batch Size 4, FP16 Precision, And 20 Minutes Dataset (Only Songs) Index Ratio 1.0 Recommended Credit to me On Youtube (@FuturisticLabelAI) & Tiktok (@futuristiclabelai)

Julita Maria Kosy (Marie) (Babygirl Era)

Julita Maria Kosy (Marie) (Babygirl Era) (RVC V2) (RMVPE) (350 Epochs)

Trained on Applio Locally TITAN Pretrain, Sample Rate 40k, contentvec Embedder, Batch Size 4, FP16 Precision, And 24 Minutes Dataset (Mniejszeodtrzech Album) Index Ratio 1.0 Recommended Credit to me On Youtube (@FuturisticLabelAI) & Tiktok (@futuristiclabelai)

Magda Bereda (Mniejszeodtrzech Era)

Magda Bereda (Mniejszeodtrzech Era) (RVC V2) (RMVPE) (550 Epochs)

REPOSTED Trained on Applio Locally TITAN Pretrain, Sample Rate 40k, contentvec Embedder, Batch Size 4, FP16 Precision, And 11 Minutes Dataset (nitki Album) Index Ratio 1.0 Recommended Credit to me On Youtube (@FuturisticLabelAI) & Tiktok (@futuristiclabelai)

Cazzu

Description

Samples

Cazzu

Cazzu

Cazzu

Cazzu 2019

Cazzu