Name: Kagura Nana, OSuper | AI RVC Model
Brand: Weights
Rating: 4.8 (11 reviews)

WebKit

Embark on an auditory journey with the groundbreaking "Kagura Nana RVC v2 Model," crafted meticulously with the latest in RVC (Retrieval-Based Voice Conversion) technology. Our Weights AI has achieved an unprecedented level of vocal clarity and expressiveness through an extensive training regime encapsulating 230 epochs. Perfect for fans and creators alike, this AI voice model captures the vibrant essence of VTuber Kagura Nana, known for her dynamic range in both talking and singing over a substantial 9-minute span.

Harnessing the power of RVC Disconnected with an advanced Ov2Super pretrain, the model is specifically engineered to facilitate seamless creation of AI Covers and text-to-speech applications. The Kagura Nana Model not only resonates with the cadence of her English speech but also embodies the nuances of musical intonation, making it an ideal choice for AI Music projects. Experience the enthralling vocal capabilities that this model has to offer, whether you're looking to create AI Covers of your favorite songs or integrate unique text-to-speech elements into your creative works.

Don't miss the opportunity to elevate your digital content. Use our free AI tools at Weights to create AI Covers or Text-to-Speech manifestations that resonate with quality and authenticity. Start your creative exploration today with the Kagura Nana RVC v2 Model.

length: 9 mins (talking & singing) Trained using: RVC Disconnected (Ov2Super pretrain) Note: her English speaking isn't bad despite self-declaring as eigo jouzu, also she sang an English song in the model dataset.

Kagura Nana, OSuper

Kagura Nana (VTuber) | RVC v2, Ov2Super, RMVPE, 230 Epochs

makidanye

using: Applio (main branch post 3.2.8-bugfix) Dataset length: 6 mins (talking) Pretrain, vocoder & sample rate: DMR v2, default hifigan, 32k F0 method: crepe (32 hop length) Embedder: contentvec (default) Batch size: 8 Training precision: fp32 Note: you can try other model checkpoints posted in the comment below.

Usada Pekora (Hololive), DMR

Usada Pekora (Hololive) | RVC v2, 202 Epochs, DMR v2

using: Applio 3.2.8 bugfix (no new vocoder) Dataset length: 20.5 minutes Pretrain & sample rate: KLM4.3x2, 32k F0 method: rmvpe Embedder: contentvec (default) Batch size: 8 Training precision: fp16 (default)

Amity Blight (The Owl House)

Amity Blight (The Owl House) | RVC v2, 219 Epochs

using: Hina's mainline Kaggle notebook Dataset length: 33.5 mins Pretrain & sample rate: Default, 32k F0 method: rmvpe Batch size: 8 Training precision: fp16 (default)

Kureiji Ollie (Hololive ID)

Kureiji Ollie (Hololive ID) | RVC v2, 273 Epochs

using: Hina's mainline Kaggle notebook Dataset length: 33.5 mins Pretrain & sample rate: Default, 40k F0 method: rmvpe Batch size: 8 Training precision: fp16 (default) Note: Has anime adaptation in summer 2024 but the dataset processed from the visual novel voicelines.

Minamo (ATRI -My Dear Moments

Minamo (ATRI -My Dear Moments-) | RVC v2, 183 Epochs

using: Hina's mainline Kaggle notebook Dataset length: 2 hours Pretrain & sample rate: Default, 40k F0 method: rmvpe Batch size: 8 Training precision: fp16 (default) Note: Has anime adaptation in summer 2024 but the dataset processed from the visual novel voicelines.

Kagura Nana, OSuper

Description

Samples

Saiba Momoi (Blue Archive)

Adel imam (Egyptian Actor) عادل امام (ممثل مصري)

JP Furina / Focalors CV: Inori Minase (Genshin Impact)

Ariana Grande AI

Hu Tao JP (Genshin Impact)

JENNIE of BLACKPINK [Strong Ver.]

Saiba Momoi (Blue Archive) (VA: Tokui Sora)

Hatsune Miku

SpongeBob SquarePants (Talking And Singing)

Takanashi Hoshino (from Blue Archive)

Satoru Gojo (JJK) [VA Yuichi Nakamura]

ENHYPEN Heeseung

Sunaokami Shiroko (Blue Archive)

Goku (Mario Castañeda) (Latin American Spanish) (UPDATE)

Villager (Minecraft)

Mortis [Brawl stars]

Jungkook (BTS)

Melodie - (Brawl Stars) - (English & Korean Voices)

Tendou Arisu (Blue Archive)

Kanye West