| license: creativeml-openrail-m | |
| tags: | |
| - pytorch | |
| - diffusers | |
| - stable-diffusion | |
| - text-to-image | |
| - diffusion-models-class | |
| - dreambooth-hackathon | |
| - animal | |
| Dataset: | |
| - LukasUni/liegend | |
| widget: | |
| - text: a photo of vvico dog in the Acropolis | |
| # DreamBooth model for the vvico concept trained by LukasUni on the LukasUni/liegend dataset. | |
| This is a Stable Diffusion model fine-tuned on the vvico concept with DreamBooth. It can be used by modifying the `instance_prompt`: **a photo of vvico 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. | |
| using LukasUni/liegend Dataset | |
| ## Usage | |
| ```python | |
| from diffusers import StableDiffusionPipeline | |
| pipeline = StableDiffusionPipeline.from_pretrained('LukasUni/vvico-dog-liegend-final') | |
| image = pipeline().images[0] | |
| image | |
| ``` | |