DreamBooth model for the zzelda concept trained by Sanderbaduk on dataset of cats.

This is a Stable Diffusion model fine-tuned on pictures of my mum's cat "Zelda" 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 for instructions on how to take part!

One of the images used to fine-tune on "a photo of zzelda cat on a chair"	One of the images generated by the model "a photo of zzelda cat in space"

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 works, but does not seem to have made much of a difference. The model was trained on CPU after encountering issues with CUDA, taking around 2 hours on 32 cores.

It works a lot better locally than in the widget, where it tends to take a few more tries to get the right cat.

Usage

from diffusers import StableDiffusionPipeline

pipeline = StableDiffusionPipeline.from_pretrained('Sanderbaduk/zelda-the-cat')
image = pipeline().images[0]
image