Instructions to use JKSoon/sd-class-cats with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JKSoon/sd-class-cats with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("JKSoon/sd-class-cats", 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:
- 59dea51691aa3d13a5bed95ffd39cf84d48b09fc93214d7d7e891bb0b8f014ea
- Size of remote file:
- 74.3 MB
- SHA256:
- 03159c01735a9beb880e0ead7c8510a4c601569bf6e6631e9b187a2a03066654
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