Name: Leviathan "Chug Jug with You" | AI RVC Model
Brand: Weights
Rating: 4.8 (15 reviews)

WebKit

 Introducing the Leviathan "Chug Jug with You" Mangio-Crepe RVC Model - a state-of-the-art artificial intelligence voice model developed using Retrieval-Based Voice Conversion (RVC) technology by Weights. With 64 hop length and 40k pre-training epochs, this powerful tool has been specifically designed to generate high-quality AI music covers and text-to-speech applications. Its extensive dataset, derived from the popular song "Chug Jug with You," allows it to produce accurate, engaging, and dynamic audio output.

The Leviathan Mangio-Crepe RVC Model boasts impressive capabilities in creating AI covers across various genres and styles while maintaining exceptional vocal quality. Whether you're looking for a fresh take on your favorite tunes or a unique way to bring your written content to life, this advanced RVC Model offers unparalleled performance. As part of our commitment to innovation at Weights, we continuously improve our models through rigorous training processes like those exemplified by the 300-epoch refinement found in this particular version.

Discover new possibilities with our cutting-edge AI tools today!

Mangio Crepe 64 Hop Lenght 40k Pre Train 300 Epochs 16 Batch Size Dataset from the "Chug Jug with You" video < Cleaned using UVR HTDemucs-FT Post Processing: EQ, Downward Expansion, Waves Clarity VX, RX Spectral Denoise, De Click, De Crackle

Leviathan "Chug Jug with You"

Leviathan "Chug Jug with You" Mangio-Crepe | RVC v2 300 Epoch

lusbert_

wow, this model is pretty hq, good job <:aismug:1159365471368400948>

SimplCup

<@917711764571951144> curious to hear more about your post production process

boundedfate

21 epochs on GPT 16 epochs on SoVITS both batch size 3 dataset size 17 minutes and 11 seconds 44kHz ripped from Portal 2

Cave Johnson - JK Simmons | GPT-SoVITS

20 epochs for both GPT and SoVITS batch size 4 for both as well dataset size of 23 Minutes i had 1 hours and 11 minutes but that'd be too large for me sooo also im surprised it did really good with the robotic voice, unlike RVC atleast, i didnt make an RVC model of her myself but all i've heard is that GLaDOS with RVC sucks. but well this one is actually robotic. most likely cause its over trained but it doesnt sound bad from that. so its a win win <

GLaDOS | Portal 2 e20-GPT_e20-SoVITS

TLDR the SoVITS is 15e with GPT being 16e GPT is DPO trained < notes: (for people who wanna learn more stuff about my experience with GPT-SoVITS) dataset size is 21 minutes batch size 2 on GPT and SoVITS SoVITS Learning Rate 0.4 15 epochs sovits took around 40 minutes 16 epochs gpt 27 minutes with DPO saving freq 2 at first i trained GPT to 20 epochs but last epoch saved is e18 prob cause my saving freq was 3 so ye be sure to look out ofr that as well as for SoVITS model it was fine most likely since i trained to 15 epochs and not 20 so prob smth to do with if the modulo of epoch is 0 or not so like [epoch count]mod[saving freq] with mod being % in python so in my case where i trained to 20 epochs with saving freq of 3 20%3 which is 2 aka non 0, so thats BAD :3 so just make sure the mod is always 0 so that you train to the full epoch count i didnt like the model when i first trained without DPO so i retrained GPT model with DPO it also went from using 6GB VRAM to using 8GB this time it took 35 minutes also apparently in SOME cases the default pretrained GPT model is better, often where new words are said or the punctuation is different i'd say? but im not really sure

TF2 Spy | Dennis Bateman_e16-GPT_e15-SoVITS

### this is a re-upload cause *SOMEONE "accidentally"* deleted the <#1175430844685484042> channel < Epochs: 1000 Steps: 15,000 RVC v2 Batch Size 8 Dataset size: 6:27 minutes all infers are transpose 0 since the Announcer has a robotic sound effect you should also apply effects in some DAW like FL Studio

Aperture Labs Announcer - Portal 2, 1000e, 15000s

Aperture Labs Announcer - Portal 2 | RMVPE - v2, 1000e, 15000s

### this is a re-upload cause *SOMEONE "accidentally"* deleted the <#1175430844685484042> channel < Epochs: 2500 Steps: 20,000 RVC v2 Batch Size 16 Dataset size: 3:44 minutes all infers are transpose 0

Leviathan "Chug Jug with You"

Description

Samples

Chugoku Usagi (UTAU)

jugsta (jujufalls)

Leviathan Seven Mortal Sins German Voice

Irving (Chuggington)

Juggernaut

Chatsworth (Chuggington)

Morgan (Chuggington)

Leviathan (Gerand) (Eng/Rus)

Juga (qumi qumi)

Astro Juggernaut Toilet

Astro Juggernaut Toilet - DerbyEdits (Remaster)

Action Chugger (UK version)

Call of the Bladeform Legacy(Juggernaut dota 2)

Leviathan (Chug Jug with You)

Leviathan

Leviathan (Obey Me)

trepang juggernaut

Mtambo (Chuggington)

Harrison (Chuggington)

Dunbar (Chuggington)

Leviathan (What in hell is bad?)

Vee (Chuggington)

Lori (Chuggington)

Jugandorcriticon youtuber peruano

Juggernaut

Jughead Jones (Riverdale)

Fnf jugador gametoons

Juggernaut Max（Bloons TD）

Джуга куми куми мультфильм juga qumi qumi cartoon

Juguetes felices

Astro Juggernaut Toilet

Wilson (Chuggington)

Leviathan (Mass Effect Series)

BADLAND CHUGS

Reaper Leviathan (Subnautica)

Jugglers (gonoodle)

Frostini (Chuggington)

Action Chugger (Chuggington)

Old puffer Pete (Chuggington)

Speedy McAllister (Chuggington)

Eddie (Chuggington)

Jugger-nog Jingle

Squeaky laroo the juggler

Astro Juggernaut Toilet (DerbyEdits Voice)

jugi (nich)

Jugador (Among US Logic) en Español

Leviathan(obey me)

Gametoons jugador latín american

Juga

Mama Jugs (The Simpsons)