| license: creativeml-openrail-m | |
| tags: | |
| - stable-diffusion | |
| - text-to-image | |
| The embeddings in this repository were trained for the 768px [Stable Diffusion v2.0](https://huggingface.co/stabilityai/stable-diffusion-2) model. | |
| **Knollingcase v1** | |
| The v1 embeddings were trained for 4000 iterations with a batch size of 2, a text dropout of 10%, & 16 vectors using Automatic1111's WebUI. A total of 69 training images were used. | |
| **Knollingcase v2** | |
| The v2 embeddings were trained for 5000 iterations with a batch size of 4 and a text dropout of 10%, & 16 vectors using Automatic1111's WebUI. A total of 78 training images were used. | |
| **Knollingcase v3** | |
| The v3 embeddings were trained for 4000-6250 iterations with a batch size of 4 and a text dropout of 10%, & 16 vectors 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. | |
| Suggested prompt words are: "photorealistic", "octane render", & "very detailed". | |
| Suggested negative prompts words are: "blurry" and you can add "toy" to make outputs more realistic looking. | |