---
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. The embeddings should work on any model that uses SD v2.0 as a base.


**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 with high quality captions 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 with high quality captions 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 with high quality captions were used.

<div align="center">
<img src="https://huggingface.co/ProGamerGov/knollingcase-embeddings-sd-v2-0/resolve/main/cruise_ship_on_wave_kc16-v3-6250.png">
</div>

* [Full Image](https://huggingface.co/ProGamerGov/knollingcase-embeddings-sd-v2-0/resolve/main/cruise_ship_on_wave_kc16-v3-6250.png)


**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 with high quality captions were used.

<div align="center">
<img src="https://huggingface.co/ProGamerGov/knollingcase-embeddings-sd-v2-0/resolve/main/v4_size_768_t4x11.jpg">
</div>

* [Full Image](https://huggingface.co/ProGamerGov/knollingcase-embeddings-sd-v2-0/resolve/main/v4_size_768_t4x11.jpg)


**Usage**

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.


Suggested prompts:

```
<concept>, micro-details, photorealism, photorealistic, <kc-vx-iter>

# Negative prompts
blurry, toy, cartoon, animated, underwater
```

```
photorealistic <concept>, very detailed, scifi case, <kc-vx-iter>
<concept>, very detailed, scifi transparent case, <kc-vx-iter>
```