VERSION 2
Dataset now expanded to:
743 1girl images
210 1boy images
162 group images (2girls, 3girls, 2boys, 1boy & 1girl, etc.)
79 still-life subjects and animals
104 images of detailed scenery
13 miscellaneous images
Usage remains the same, see sample images for prompts and strength comparisons. All showcase images are made in Illustrious v1.0.
VERSION 1
A LoRA trained on a collection of images that were either:
Trending on PixAI over the last few days
Have come top in events/competitions
Were top on detail or aesthetic focused LoRA
This model isn't trained for a specific style/composition, although it may be biased towards images that PixAI users consider good. Recommended weights 0.2 - 0.8 (see sample images for examples of different weights).
The model is trained to activate when it sees the token:
trending_on_pixaithis model is intended to be used with any baked-in quality tags in the base model.
This model works both on human and non-human targets, with a dateset comprising of:
553 1girl images
130 1boy images
115 group images (2girls, 3girls, 2boys, 1boy & 1girl, etc.)
46 still-life subjects and animals
78 images of detailed scenery
The first set of sample images are generated using the base Illustrious-v1.0, and this is the model that it was trained on. It works well with other finetunes. All sample images are generated using a simple negative, so that the effects of this LoRA are more obvious (the LoRA was not trained on any negative tags):
worst_quality, low_quality, bad_anatomy, bad_hands, textThe last five images in the showcase are generated using the one of the most popular finetunes of Illustrious (WAI v14) with a full negative prompt for illustrative purposes.

