The LHC (Large Heap o' Chuubas) is aiming to be the model for all of your VTuber needs. There are other minor goals, like improving aesthetics, backgrounds and anatomy, but the main goal is to offer a lora-less option for generating VTubers.

Alpha V0.4

As opposed to the previous versions which used the LoKR method, v0.4 is a full finetune of Noob V-Pred 0.6. At over 340,000 samples(4500 images over 80 epochs) seen, it took nearly 90 hours of training, which does not included several experiments. Despite this, the understanding of artists and concepts is still very close to the base model.

A list of characters can be found here: https://huggingface.co/Jyrrata/LHC_XL/blob/main/characters/alpha04.txt . Some of these will only need the character tag, some will need additional descriptors.

And the Lora Extract here: https://huggingface.co/Jyrrata/LHC_XL/blob/main/alpha/v04/lhc_04_extract.safetensors

Training Details

Dataset:

A dataset of ~3500 images(4500 including repeats) was used. This includes 3 artists with a total of ~350 images, ~500 images of multiple characters and the ~2650 images of the 100 included characters.

Repeats were chosen so that each character has somewhere between 30 and 50 images per epoch. Whenever possible, high quality pngs with resolutions >1MP were chosen. If this was not possible, then the images were upscaled and/or cleaned using upscaling Models designed to remove jpeg artifacts from images.

Alpha V0.3.1

Due to some mistakes during the training of alpha v0.3, the model has diverged significantly from NoobAI. Nonetheless, it is a capable model with good understanding of most of the 79 trained vtubers and a passable one for the rest. For an overview refer to:

https://huggingface.co/Jyrrata/LHC_XL/blob/main/characters/alpha03.txt

and https://civitai.com/posts/9579061 for a visual guide on basic character comprehension of the two v0.3 models. Many characters work with only their activation tag, though some require a little or a lot of additional tags to work.

Alpha V0.3 and V0.3.1 were trained on NoobAI-XL V-Pred-0.6 version.

A lora extracted version can be found here: https://huggingface.co/Jyrrata/LHC_XL/blob/main/alpha/v03/lhc_v03_1_lora.safetensors

If you want to use V0.3, it can be found here: https://huggingface.co/Jyrrata/LHC_XL/blob/main/alpha/v03/LHC_alphav03-vpred.safetensors

Additionally, there is also an eps version and a version trained on rouwei-vpred of intermediate datasets in that huggingface repo. Refer to the character .txt files for overview of the v0.2.5 knowledge.

Alpha V0.2

Same general approach as v0.1, however the dataset has been expanded by 10 additional vtubers for a total of 28 now, and the final two epochs include an experimental dataset of 1200 images covering a wide base of concepts intended to realign and improve the model aesthetically.

Included vtubers this time are:

aradia ravencroft
bon \(vtuber\)
coni confetti
dizzy dokuro
dooby \(vtuber\)
haruka karibu
juniper actias
kogenei niko
malpha ravencroft
mamarissa
michi mochievee
rindo chihaya
rin penrose
atlas anarchy
dr.nova\(e\)
eimi isami
isaki riona
jaiden animations
juna unagi
kikirara vivi
mizumiya su
trickywi
tsukinoki tirol
alias nono
biscotti \(vtuber\)
mono monet
rem kanashibari
yumi the witch

In addition to adding new ones, the datasets for some of the old ones have been redone, especially trickywi, juna unagi and juniper actias. Juniper has also gotten two new tags, juniper actias \(new design\) and juniper actias \(old design\), which tries to seperate her models into two distinct phases. This is experimental and might not be carried forward to future versions.

A showcase of the base character tag understanding is here. Some vtubers don't work with only their character tag, instead you will need additional descriptive tags.

Alpha V0.1

This model is currently still in alpha. The current state is not indicative of all future capabilities, but rather just a proof of concept.

A basic test model, with nice results nonetheless. Trained on roughly 1000 images featuring mostly 18 vtubers that the base NoobAI model did not know well. This model is based on the NoobAIXL v-pred-0.5-version model.

As a V-pred model, this model will not work in all WebUIs, but only those that have implemented vpred sampling. The necessary state dicts of the model have been set for UIs like Comfy and ReForge to set the required settings automatically. If not, it is necessary to activate v-pred sampling and it is recommended to turn on ztsnr as well.

The newly added/enhanced vtubers are (listed by their trained tags):