---
license: creativeml-openrail-m
tags:
- pytorch
- diffusers
- stable-diffusion
- text-to-image
- diffusion-models-class
---
# Dreambooth model of my cat azzy
#### model by jefsnacker
This is a Stable Diffusion model fine-tuned on pictures of Azriel with DreamBooth.
It can be used by modifying the `instance_prompt`: **photo of azzy cat**

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

You can also train your own concepts and upload them to the library by using [this notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_training.ipynb).
And you can run your new concept via `diffusers`: [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb).

## Sample Images
12 images of Azriel were used to train the model.

<table>
  <tr>
    <td align="center"><img src="https://huggingface.co/jefsnacker/azzy/resolve/main/concept_images/azzy00.jpg" style="height:200px"> </td>
    <td align="center"><img src="https://huggingface.co/jefsnacker/azzy/resolve/main/concept_images/azzy01.jpeg" style="height:200px"> </td>
    <td align="center"><img src="https://huggingface.co/jefsnacker/azzy/resolve/main/concept_images/azzy02.jpeg" style="height:200px"> </td>
  </tr>
  <tr>
    <td align="center"><img src="https://huggingface.co/jefsnacker/azzy/resolve/main/concept_images/azzy03.jpg" style="height:200px"> </td>
    <td align="center"><img src="https://huggingface.co/jefsnacker/azzy/resolve/main/concept_images/azzy04.jpg" style="height:200px"> </td>
    <td align="center"><img src="https://huggingface.co/jefsnacker/azzy/resolve/main/concept_images/azzy05.jpg" style="height:200px"> </td>
  </tr>
  <tr>
    <td align="center"><img src="https://huggingface.co/jefsnacker/azzy/resolve/main/concept_images/azzy06.jpeg" style="height:200px"> </td>
    <td align="center"><img src="https://huggingface.co/jefsnacker/azzy/resolve/main/concept_images/azzy07.jpeg" style="height:200px"> </td>
    <td align="center"><img src="https://huggingface.co/jefsnacker/azzy/resolve/main/concept_images/azzy08.jpeg" style="height:200px"> </td>
  </tr>
  <tr>
    <td align="center"><img src="https://huggingface.co/jefsnacker/azzy/resolve/main/concept_images/azzy09.jpeg" style="height:200px"> </td>
    <td align="center"><img src="https://huggingface.co/jefsnacker/azzy/resolve/main/concept_images/azzy10.jpeg" style="height:200px"> </td>
    <td align="center"><img src="https://huggingface.co/jefsnacker/azzy/resolve/main/concept_images/azzy11.jpeg" style="height:200px"> </td>
  </tr>
</table>


## Usage

```python
from diffusers import StableDiffusionPipeline, DPMSolverMultistepScheduler

pipe = StableDiffusionPipeline.from_pretrained(
    "jefsnacker/azzy", 
    scheduler = DPMSolverMultistepScheduler.from_pretrained("jefsnacker/azzy", subfolder="scheduler"),
    torch_dtype=torch.float16,
).to("cuda")

guidance_scale = 7
prompt = "Cute and adorable cartoon fluffy azzy cat with cap, with yellow eyes, fantasy, dreamlike, city scenario, surrealism, super cute, trending on artstation" #@param {type:"string"}

images = pipe(prompt, num_images_per_prompt=1, num_inference_steps=50, guidance_scale=guidance_scale).images
image[0]

```