File size: 1,767 Bytes
3ca29d2 5f647c0 3ca29d2 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 |
---
license: creativeml-openrail-m
tags:
- pytorch
- diffusers
- stable-diffusion
- text-to-image
- diffusion-models-class
- dreambooth-hackathon
- animal
widget:
- text: Cute and adorable cartoon fluffy nnnalaz dog with a scarf, fantasy, dreamlike,
city scenario, surrealism, super cute, trending on artstation
---
# DreamBooth model for the nnnalaz concept trained by ben-yu on the ben-yu/dreambooth-hackathon-nala dataset.
This is a Stable Diffusion model fine-tuned on the nnnalaz concept with DreamBooth. It can be used by modifying the `instance_prompt`: **a photo of nnnalaz dog**
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 `dog` images for the animal theme.
Prompt: `Cute and adorable cartoon fluffy nnnalaz dog with a scarf, fantasy, dreamlike, city scenario, surrealism, super cute, trending on artstation`
Prompt: `Portrait painting of a cute nnnalaz dog with armor, ultra realistic, concept art, intricate details, eerie, highly detailed, photorealistic, octane render, 8 k, unreal engine. art by artgerm and greg rutkowski and charlie bowater and magali villeneuve and alphonse mucha`
Prompt: `portrait of nnnalaz husky anthro as a astronaut, retro futurism, art deco, detailed, painterly digital art by wlop and cory loftis and delphin enjolras, 🐿🍸🍋, furaffinity, trending on artstation`
## Usage
```python
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('ben-yu/nnnalaz-dog')
image = pipeline().images[0]
image
```
|