| license: creativeml-openrail-m | |
| tags: | |
| - pytorch | |
| - diffusers | |
| - stable-diffusion | |
| - text-to-image | |
| - diffusion-models-class | |
| - dreambooth-hackathon | |
| - landscape | |
| widget: | |
| - text: a photo of ioprt cliff with a dog | |
| # DreamBooth model for the ioprt concept trained by harveymannering on the /content/sample_data/images/ dataset. | |
| This is a Stable Diffusion model fine-tuned on the ioprt concept with DreamBooth. It can be used by modifying the `instance_prompt`: **a photo of ioprt cliff** | |
| 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 `cliff` images for the landscape theme. We used the jurassic-coast dataset which contains 14 images of a particular cliff on the Isle of Portland on the south coast of England. | |
| ## Usage | |
| ```python | |
| from diffusers import StableDiffusionPipeline | |
| pipeline = StableDiffusionPipeline.from_pretrained('harveymannering/jurassic-coast') | |
| image = pipeline().images[0] | |
| image | |
| ``` | |