Instructions to use zarox/catting with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zarox/catting with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("zarox/catting", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- dffb53041bb5550037065087ce9c6bd72c54256b29e42047e6c330ff8e133eca
- Size of remote file:
- 246 MB
- SHA256:
- 17d0d97437652725ead5f8b890b7d3cbb8c5b62e215c01172b0dbaef85125dbc
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