--- 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