Instructions to use vikosik3000/cats-diffuser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vikosik3000/cats-diffuser with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("vikosik3000/cats-diffuser", 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
- Xet hash:
- 00f842099a65b1ab7c2ac328c9273754593dd0a8fc205865306793dd768d3ff6
- Size of remote file:
- 455 MB
- SHA256:
- 0cc9b48ded5a0199a981bd31a596dfb9eb5c2efa8d1627386062a66e6c3443de
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