| license: creativeml-openrail-m | |
| tags: | |
| - pytorch | |
| - diffusers | |
| - stable-diffusion | |
| - text-to-image | |
| - diffusion-models-class | |
| - dreambooth-hackathon | |
| - animal | |
| datasets: CCMat/db-aplaca | |
| widget: | |
| - text: a photo of fluffalpaca llama in front of the Colosseum in Rome | |
| # DreamBooth model for the fluffalpaca concept trained on the CCMat/db-aplaca dataset. | |
| This is a Stable Diffusion model fine-tuned on the fluffalpaca concept with DreamBooth. It can be used by modifying the `instance_prompt`: **a photo of fluffalpaca llama** | |
| 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 `llama` images for the animal theme.<br> | |
| ### Training Hyperparemeters | |
| Pretrained Model: [stabilityai/stable-diffusion-2](https://huggingface.co/stabilityai/stable-diffusion-2)<br> | |
| Learning rate: 1e-6<br> | |
| Steps:1078<br> | |
| ## Usage | |
| ```python | |
| from diffusers import StableDiffusionPipeline | |
| pipeline = StableDiffusionPipeline.from_pretrained('CCMat/fluffalpaca-llama-1078') | |
| image = pipeline().images[0] | |
| image | |
| ``` | |