Name: Alan Wake (Alan Wake 2) - RIN_E3 | AI RVC Model
Brand: Weights
Rating: 4.2 (6 reviews)

WebKit

 Introducing our latest Alan Wake (Alan Wake 2) RVC V2 - RIN\_E3 model, powered by Retrieval-Based Voice Conversion (RVC) technology. This advanced AI voice model boasts impressive capabilities, allowing you to generate realistic and expressive vocal performances reminiscent of your favorite characters. With its high-quality audio output and seamless integration with RVC, creating AI covers and text-to-speech has never been easier.

Our model features improved Mel spectrogram vocoding through the use of the Restricted Mean Variance Preprocessing method (RMVPE), resulting in more natural sounding voices. Trained over 390 epochs, this meticulously crafted model guarantees optimal performance and accuracy every time it's utilized.

At Weights, we pride ourselves on offering cutting-edge AI music solutions, designed to inspire creativity and streamline workflows. If you're ready to take advantage of these innovative technologies, try out our free AI tools today! Transform the way you compose and experience music like never before – join us in exploring limitless creative possibilities with Alan Wake (Alwan Wake 2) R

Just saw that @Grimoire had recently also made a model lol ( I think theirs is probably better at singing than my model. Dataset is around 19.5 mins from this video: It's likely that you will need to adjust transpose/pitch.

Alan Wake (Alan Wake 2) - RIN_E3

Alan Wake (Alan Wake 2) | RVC V2 - RIN_E3 | RMVPE | 390 Epochs

talktalkrouter

grimoirevc

My most trained model yet... (and yes, graphs were good, can show) ~2mins, ripped from game, regular kayn (not shadow or rhaast) Note: I don't think singing is the strongest suit for the model, but the testing audios I've got aren't cleaned up that well so... :shrug: If it doesn't sound good, then you likely need to lower transpose/pitch.

Kayn (League of Legends - EN) - RIN_E3

Kayn (League of Legends - EN) | RVC V2 - RIN_E3 | RMVPE | 1640 Epochs

Using RIN_E3, batch size 4 (prob should have done 8, this took way too long lol). Dataset audio (cleaned up after) comes from this video: Sounds much better than my previous model:

Smolder (League of Legends - EN) - RIN_E3

Smolder (League of Legends - EN) | RVC V2 - RIN_E3 | RMVPE | 425 Epochs

Trained using rmvpe. Dataset made from voice lines ripped from game. Using rmvpe is recommended. Einhar has a deeper voice, so if output doesn't sound like Einhar, set transpose to a lower value. Credit would be appreciated.

Einhar (Path of Exile)

Einhar (Path of Exile) RVC v2 - 250 Epochs

Trained using mangio-crepe. *32 seconds* of usable voice lines ripped from the game Using model with mangio-crepe/rmvpe + default settings works fine Credit would be appreciated

Alan Wake (Alan Wake 2) - RIN_E3

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