Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
animal
Instructions to use Nlpeva/britazzleshorg-cat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Nlpeva/britazzleshorg-cat with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Nlpeva/britazzleshorg-cat", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of britazzleshorg cat at Shakespeare outdoor amphitheater in pet costume" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
DreamBooth model for the britazzleshorg concept trained by Nlpeva on the Nlpeva/British_shorthair dataset.
This is a Stable Diffusion model fine-tuned on the britazzleshorg concept with DreamBooth. It can be used by modifying the instance_prompt: a photo of britazzleshorg cat
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 cat images for the animal theme. It is based on ten images of a british shorthair.
Usage
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('Nlpeva/britazzleshorg-cat')
image = pipeline().images[0]
image
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