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---
license: creativeml-openrail-m
tags:
- pytorch
- diffusers
- stable-diffusion
- text-to-image
- diffusion-models-class
- dreambooth-hackathon
- landscape
widget:
- text: a photo of norweigen-fjords fjords
---
# DreamBooth model for the norweigen-fjords concept trained by StatsGary on the StatsGary/dreambooth-hackathon-images dataset.
This is a Stable Diffusion model fine-tuned on the norweigen-fjords concept with DreamBooth. It can be used by modifying the `instance_prompt`: **a viking on the fjords**
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 `fjords` images for the landscape theme. Below are some examples of the images generated on the back of the model:
### Lobster swimming in a Fjord
The below example uses a prompt similar to *lobster swimming in a fjord* to generate the output:
![lobster.jpeg](https://s3.amazonaws.com/moonup/production/uploads/1673018851087-63b83d10e60862785afef49f.jpeg)
### Viking warrior in a Fjord
This represents a generated Viking warrior on or near a Fjord. The prompt used to generate is **prompt**=*a viking warrior on a fjord*:
![viking_on_fjord.jpeg](https://s3.amazonaws.com/moonup/production/uploads/1673019199954-627cebc6cecd686d4cd7411c.jpeg)
### A yellow submarine (inspired by The Beetles)
Here, we see a yellow submarine inspired by the popular Beetles album. The prompt used to generate is **prompt**=a beetles like yellow submarines on a fjord*:
![Beetles_submarine.jpeg](https://s3.amazonaws.com/moonup/production/uploads/1673019576047-627cebc6cecd686d4cd7411c.jpeg)
## Generating your own predictions
The following Python code will allow you to get up and running quickly, just replace the *prompt* field for your own generation, wait for HuggingFace to compute and you should have your own Stable Diffusion object generated against a backdrop of the fjords. Idyllic!
```python
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('StatsGary/norweigen-fjords-fjords')
image = pipeline(prompt='a viking on a fjord').images[0]
image
```
## Supporting article
I have undertaken a blog to explain this:
- Fjord stable diffusion model: https://hutsons-hacks.info/stable-diffusion-model-for-generating-images-of-fjords