Name: Irama | AI RVC Model
Brand: Weights
Rating: 4.8 (10 reviews)

WebKit

 Introducing Irama, our advanced AI Voice Model powered by Retrieval-Based Voice Conversion (RVC) technology. With its ability to mimic and convert voice recordings, Irama offers a unique solution for creating realistic and engaging text-to-speech experiences. Based on the album "Il giorno in cui ho smesso di pensare" by Minutes, this model has been specifically trained to capture the essence of Italian music and culture. In addition to providing high-quality text-to-speech capabilities, Irama also boasts the ability to create AI covers of your favorite songs from the album, allowing you to experience them like never before. Whether you're looking to enhance your digital products, create immersive marketing materials, or simply enjoy some artificial intelligence-powered tunes, Irama is here to help. Try it out now with our free AI tools and discover how easy it is to bring your ideas to life with Weights.

Model by Minutes (Songs from the Album "Il giorno in cui ho smesso di pensare") Extraction: Mangio-Crepe Hop Length: 64 Batch Size 6 Credit to me on Youtube & TikTok. Recommended to Use Index Ratio 1.0 & RMVPE inference.

Irama

CrimsonZockt

Hi, can you give me the permission to add your model to our Italian voice models list: https://rentry.org/modelli-italiani ? 

Tysm in advance

lollenape

antonpisano72

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)

Irama

Description

Samples

Hashirama Senju (Takayuki Sugou)

Rhoma Irama (SHQ)

Irama

Tobirama Senju (Kenyu Horiuchi)

千手柱间（children senju hashirama）

Kenji Hiramatsu - Mor Ardain - Roaming the Wastes - (Drums)

Hashirama Hindi

Rhoma Irama

千手扉间（children senju tobirama）

schapiramanuk

Takamichi Crystalia (Kiramai Silver)/Rakia Amarga (Kamen Rider Vram) - Character Song