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 Settings
- Draw Things
- DiffusionBee
Ctrl+K
- checkpoint-100
- checkpoint-1000
- checkpoint-200
- checkpoint-300
- checkpoint-400
- checkpoint-500
- checkpoint-600
- checkpoint-700
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- checkpoint-900
- feature_extractor
- logs
- scheduler
- text_encoder
- tokenizer
- unet
- vae
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