Text-to-Image
Diffusers
Safetensors
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
animal
Instructions to use vincentW123456/bomei-dog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vincentW123456/bomei-dog with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("vincentW123456/bomei-dog", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of bomei dog in the Acropolis" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
DreamBooth model for the bomei concept trained by vincentW123456 on the vincentW123456/dreambooth-bomei-images dataset.
This is a Stable Diffusion model fine-tuned on the bomei concept with DreamBooth. It can be used by modifying the instance_prompt: a photo of bomei dog
This model was created as part of the DreamBooth Hackathon 🔥. Visit the organisation page for instructions on how to take part!
Description
This is a Stable Diffusion model fine-tuned on dog images for the animal theme.
Usage
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('vincentW123456/bomei-dog')
image = pipeline().images[0]
image
- Downloads last month
- 2