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---
license: creativeml-openrail-m
tags:
- pytorch
- diffusers
- stable-diffusion
- text-to-image
- keyboard
widget:
- text: a photo of cyberboard keyboard
datasets:
- li-yan/crazy-keyboard
---
<center>
```
<img src="https://huggingface.co/li-yan/stable-diffusion-crazy-keyboard/resolve/main/docs/crazy-keyboard.gif"/>
```
</center>
## Description
This is a Stable Diffusion model fine-tuned on dataset li-yan/crazy-keyboard images for the different breeds of cats.
#### Prompt 1: "a photo of cyberboard keyboard"
|  |  |
|:--:|:--:|
| result of pretrained model | result of fine tuned model |
#### Prompt 2: "in the forest, a cyberboard keyboard is on the ground"
|  |  |
|:--:|:--:|
| result of pretrained model | result of fine tuned model |
#### Prompt 3: "a cyberboard keyboard in front of the Golden Gate Bright"
|  |  |
|:--:|:--:|
| result of pretrained model | result of fine tuned model |
# Details
Trained by li-yan on the li-yan/crazy-keyboard dataset.
It can be used by modifying the `instance_prompt`: **a photo of cyberboard keyboard**
This model is fine tuned from pretrained model CompVis/stable-diffusion-v1-4 using DreamBooth model.
More for DreamBooth model, please refer to https://dreambooth.github.io/.
## Usage
```python
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('li-yan/stable-diffusion-crazy-keyboard')
image = pipeline().images[0]
image
```
## Fine Tune Source Code
[<img src="https://colab.research.google.com/assets/colab-badge.svg">](https://colab.research.google.com/github/Li-Yan/Diffusion-Model/blob/main/Li_Yan_Stable_Defussion_Fune_Tuning.ipynb) |