---
license: creativeml-openrail-m
tags:
- pytorch
- diffusers
- stable-diffusion
- text-to-image
- diffusion-models-class
- dreambooth-hackathon
- animal
widget:
- text: a photo of a zzelda cat in space
---

# DreamBooth model for the zzelda concept trained by Sanderbaduk on dataset of cats.

This is a Stable Diffusion model fine-tuned on the zzelda concept with DreamBooth. It can be used by using the phrase 'zzelda cat' in a prompt.

This model was created as part of the DreamBooth Hackathon 🔥. Visit the [organisation page](https://huggingface.co/dreambooth-hackathon) for instructions on how to take part!

<table>
  <th>
    <td>One of the images used to fine-tune on<br>"a photo of zzelda cat on a chair"</td>
      <td>One of the images generated by the model<br>"a photo of zzelda cat in space"</td>
  </th>
  <tr>
    <td>
 ![](https://i.imgur.com/zFOzQtf.jpg)     
    </td>
    <td>
    ![](https://i.imgur.com/12Nilhg.png)
    </td>
  </tr>
</table>

## Description


This is a Stable Diffusion model fine-tuned on images of my mum's cat Zelda for the animal theme.

To experiment a bit, I used a custom prompt for each image based on the file name.
This was trained on CPU after encountering issues with CUDA, taking around 2 hours on 32 cores.

It generates some red cats, but 

## Usage

```python
from diffusers import StableDiffusionPipeline

pipeline = StableDiffusionPipeline.from_pretrained('Sanderbaduk/zelda-the-cat')
image = pipeline().images[0]
image
```