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---
license: creativeml-openrail-m
tags:
- pytorch
- diffusers
- stable-diffusion
- text-to-image
- diffusion-models-class
- dreambooth-hackathon
- wildcard
widget:
- text: a photo of hasbulla person
---
# DreamBooth model for the hasbulla concept trained by carlosabadia on the carlosabadia/hasbulla dataset. DreamBooth Hackaton's Winner! 🏆
This is a Stable Diffusion model fine-tuned on the hasbulla concept with DreamBooth. It can be used by modifying the `instance_prompt`: **hasbulla person**
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!
## Description
This is a Stable Diffusion model fine-tuned on `Hasbulla` images for the wildcard theme.
It was also featured in Hasbulla's Twitter account!
<blockquote class="twitter-tweet"><p lang="sv" dir="ltr">Hasbulla Van Gogh <a href="https://t.co/5f0uPKhi6U">pic.twitter.com/5f0uPKhi6U</a></p>— Hasbulla 🐐 (@HasbullaHive) <a href="https://twitter.com/HasbullaHive/status/1610729157268234240?ref_src=twsrc%5Etfw">January 4, 2023</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
## Images generated by model
<img src=https://i.imgur.com/Sqfr7ae.jpg width=70% height=70%>
# Gradio & Colab
Model supported in a [Gradio](https://github.com/gradio-app/gradio) Web UI and Colab:
[](https://huggingface.co/spaces/carlosabadia/hasbulla)
[](https://colab.research.google.com/drive/1ZB1_Z89BnjW_P76OLoQdcqVgPZfN8HEG?usp=sharing)
## Usage
```python
import torch
from diffusers import StableDiffusionPipeline, DPMSolverMultistepScheduler
pipe = StableDiffusionPipeline.from_pretrained(
"carlosabadia/hasbulla",
scheduler = DPMSolverMultistepScheduler.from_pretrained("carlosabadia/hasbulla", subfolder="scheduler"),
torch_dtype=torch.float16,
).to("cuda")
guidance_scale = 7
prompt = "A portrait of hasbulla person"
images = pipe(prompt, num_images_per_prompt=1, num_inference_steps=25, guidance_scale=guidance_scale).images
image = images[0]
image.save("hasbulla.png")
```
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