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StatsGary/norweigen-fjords-fjords
norweigen-fjords-fjords is a text-to-image model from StatsGary. Use it when you need an image from a text prompt. It is set up for diffusers. The card lists the license as creativeml-openrail-m.
This is a Stable Diffusion model fine-tuned on the norweigen-fjords concept with DreamBooth. It can be used by modifying the instanceprompt: a viking on the fjords
Downloads · 30 days
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From the Hugging Face model README
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 for instructions on how to take part!
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:
The below example uses a prompt similar to lobster swimming in a fjord to generate the output:

This represents a generated Viking warrior on or near a Fjord. The prompt used to generate is prompt=a viking warrior on a fjord:

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*:

This is based on the prompt=a cruise ship on a fjord:

This generates landmarks near or on the fjord:

This is an example of a kayaker on a fjord - generated using prompt="a kayaker on a fjord":

What about a surfer on a fjord:

This one is a generated image of Godzilla wading through a Fjord:

On the theme of Godzilla, what about T-Rex:

We could explore what a Da Vinci type painting would look like on a Fjord:

What about your pet rabit:

This is a pop art of a Fjord:
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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!
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('StatsGary/norweigen-fjords-fjords')
image = pipeline(prompt='a viking on a fjord').images[0]
image
I have undertaken a blog to explain this: