Instructions to use yuvalkirstain/cat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yuvalkirstain/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("yuvalkirstain/cat", dtype=torch.bfloat16, device_map="cuda") prompt = "Woman in wheelchair with her dog outdoors" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
DreamBooth - yuvalkirstain/cat
This is a dreambooth model derived from stabilityai/stable-diffusion-2-inpainting. The weights were trained on Woman in wheelchair with her dog outdoors using DreamBooth. You can find some example images in the following.
DreamBooth for the text encoder was enabled: True.
- Downloads last month
- 4
Model tree for yuvalkirstain/cat
Base model
stabilityai/stable-diffusion-2-inpainting












