Instructions to use cvnberk/cat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cvnberk/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("cvnberk/cat", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a <new1> cat" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download image_2.png from cvnberk/cat: direct link, hf CLI and curl.
- Browser
- Download file 413 kB
-
https://huggingface.co/cvnberk/cat/resolve/main/image_2.png
- Command line
-
hf download hf://cvnberk/cat/image_2.png
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curl -L -o image_2.png https://huggingface.co/cvnberk/cat/resolve/main/image_2.png
413 kB
