| license: creativeml-openrail-m | |
| tags: | |
| - pytorch | |
| - diffusers | |
| - stable-diffusion | |
| - text-to-image | |
| - diffusion-models-class | |
| - dreambooth-hackathon | |
| - animal | |
| widget: | |
| - text: a photo of three zzelda cat attacking an astronaut in space | |
| # DreamBooth model for the zzelda concept trained by Sanderbaduk on dataset of cats. | |
| This is a Stable Diffusion model fine-tuned on the zzelda concept with DreamBooth. It can be used by using the phrase 'zzelda cat' in a prompt.** | |
| 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 images of my mum's cat Zelda for the animal theme. | |
| To experiment a bit, I used a custom prompt for each image based on the file name. | |
| This was trained on CPU after encountering issues with CUDA, taking around 2 hours on 32 cores. | |
| ## Usage | |
| ```python | |
| from diffusers import StableDiffusionPipeline | |
| pipeline = StableDiffusionPipeline.from_pretrained('Sanderbaduk/zelda-the-cat') | |
| image = pipeline().images[0] | |
| image | |
| ``` | |