I RECOMMEND WORKING WITH A MINIMUM RESOLUTION OF WIDTH 512 X 1024 Heitgh to get the results i get in the published examples.
I AM NOT GOING TO UPDATE THIS LORA
If you want to improve or create a lora with the attached dataset, I recommend first reviewing the data set, since it has images of male characters which could ruin your training, I recommend only training female characters SOLOLY, only one female character per image
READ ALL VERY IMPORTANT
I recommend use the generated imagnes in this post as examples of how to use this lorA.
BETA LorA trained to follow the style of 3d artist Moiarte, you all could find the artist and help his content in Twitter Moiarte3D
KEYWORD PROMPT (use): Moiarte3dstyle
I recommend using this way the lorA: <lora:Moiarte3dstyle-04:0.7>, Moiarte3dstyle
put 04 in epochs and 0.7 as weight
Checkpoint: ponyDiffusionV6XL
Base model: Pony Diffusion V6 XL
To get decent results (use):
-Recommend:
sampling method: DPM++2M (BETTER) or Euler A
sampling steps: 120 or more
-everything else by default
hire fix:
>Minimun Hire steps: use 10 less units or the same amount as sampling methods
-everything else by default
refiner: default
CFG: scale: 6.5 or 7
The tool used to tag the images is: https://colab.research.google.com/github/hollowstrawberry/kohya-colab/blob/main/Dataset_Maker.ipynb#scrollTo=sl4FD7Mz-uea
The model can improve especially if the tags generated by the tool are edited, since the tags provided by the IA tool ARE VERY GENERAL and not very specific on different issues. That is the reason why the model needs many prompts to obtain results close to what you requested.
I have attached the data set maker if you want to do it yourself and improve/create a new lora with this style (READ VERY IMPORTANT: THIS DATA SET ALREADY HAS MALE CHARACTERS INCLUDED, FOR THIS NEWLY RELEASED LORA MODEL I DID NOT USE MALE CHARACTERS.
I ONLY USED DIFFERENT FEMALE CHARACTERS, PLEASE NOTE). THANK YOU
Description
beta version
The prompts generated by the AI for the dataset are very general, not very specific and somewhat vague