license: creativeml-openrail-m
tags:
- stable-diffusion
- text-to-image
The embeddings in this repository were trained for the 768px Stable Diffusion v2.0 model.
Knollingcase v1:
The v1 embeddings were trained for 4000 iterations with a batch size of 2 and a text dropout of 10%, using Automatic1111's WebUI.
Knollingcase v2:
Knollingcase v3:
The v3 embeddings were trained for 4000-6250 iterations with a batch size of 4 and a text dropout of 10%, using Automatic1111's WebUI. A total of 86 training images were used.
Knollingcase v4:
The v4 embeddings were trained for 4000-6250 iterations with a batch size of 4 and a text dropout of 10%, using Automatic1111's WebUI. A total of 116 training images were used.
To use the embeddings, download and then rename the file to whatever trigger word you want to use.
The knollingcase style is considered to be a concept inside a sleek (sometimes scifi) display case with transparent walls, and a minimalistic background.