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holotard

Text-to-Image
English
stable-diffusion
vtuber
hololive
stable diffusion 1.5
textual-inversion
lora
character
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metadata
license: creativeml-openrail-m
language:
  - en
pretty_name: Hololive vtuber LoRAs and TIs
task_categories:
  - question-answering
tags:
  - stable-diffusion
  - vtuber
  - hololive
  - stable diffusion 1.5
  - textual-inversion
  - lora
  - character
  - text-to-image
pipeline_tag: text-to-image
metrics:
  - character

Models

These were mixed with a model trained on tens of thousands of vtuber images. The 3.1 version knows more non-hololive vtubers, but has a different style. Many more mixes can be found in the same repo these come from.

Click here for a comparison

 

Loras (and TIs)

All known holo Loras will be linked to and backed up here. Put them in your stable-diffusion-webui/models/Lora folder. Use them in your prompt like this: <lora:filename:0.7>

Most Loras work best with a weight of 0.7 as the default of 1 might fry your image.  

All Vtubers

These can do a wide variety of vtubers with only 1 Lora, but may have lower quality than a single Lora for each character. For a compromise, try the Small Loras below.

Small Loras

These were scaled down to 1/7 of their original size and perform almost the same. They need a higher weight than the original to preserve detail. If one performs poorly for you, try the original instead.

This was done by me. Find them here.

Click here for a comparison
 

Outfits

Main purpose of this repo. Format: (Source 1) (Source 2)... where each source can have multiple outfits. {TI} indicates a textual inversion (embedding) which goes in a different folder and is used as a normal word in your prompt.

The default outfit is the first/main one for that talent. Generic means it's not trained on a particular outfit and can do various clothing. In any case, most Loras can change clothes.

Example usage of each outfit can be found in the metadata of the image previews next to each Lora.

HoloEN

HoloID

HoloJP