Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
animal
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("bobber/terrier-dog", dtype=torch.bfloat16, device_map="cuda")
prompt = "a photo of terrier dog swimming in the pool"
image = pipe(prompt).images[0]DreamBooth model for the terrier concept trained by bobber on the bobber/Terrier-images dataset.
This is a Stable Diffusion model fine-tuned on the terrier concept with DreamBooth. It can be used by modifying the instance_prompt: a photo of terrier dog
This model was created as part of the DreamBooth Hackathon 🔥. My daughter helped me selecting 18 images about Terriers from petfind. Hope you enjoy it. Visit the organisation page for instructions on how to take part!
Examples
| Generated Image of "a photo of terrier dog in space suit walking in the mars" |
Generated Image of "a photo of terrier dog in the background of chinese new year" |
Generated Image of "a photo of terrier dog swimming in the pool" |
 |
 |
 |
| Generated Image of "a photo of terrier dog walking in Paris by Van Gogh" |
Generated Image of "a photo of terrier dog with The Great Wave by Katsushika Hokusai" |
Generated Image of "a photo of terrier dog by Leonardo da Vinci" |
 |
 |
 |
Description
This is a Stable Diffusion model fine-tuned on 18 Terrier dog images for the animal theme.
Usage
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('bobber/terrier-dog')
image = pipeline().images[0]
image
- Downloads last month
- 2