Instructions to use custom-diffusion-library/cat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use custom-diffusion-library/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("custom-diffusion-library/cat", 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
Download custom_diffusion_cat.bin from custom-diffusion-library/cat: direct link, hf CLI and curl.
- Browser
- Download file 76.7 MB
-
https://huggingface.co/custom-diffusion-library/cat/resolve/994d04d806d34d4ac3ae7aa63f2ea6ffcdfd6515/custom_diffusion_cat.bin
- Command line
-
hf download hf://custom-diffusion-library/cat@994d04d806d34d4ac3ae7aa63f2ea6ffcdfd6515/custom_diffusion_cat.bin
-
curl -L -o custom_diffusion_cat.bin https://huggingface.co/custom-diffusion-library/cat/resolve/994d04d806d34d4ac3ae7aa63f2ea6ffcdfd6515/custom_diffusion_cat.bin
76.7 MB
- Xet hash:
- dccd2ac0e4d83d3d3d67e71d0ae7864ee8f3d2b17fed3cbd350fcbc099c91a3e
- Size of remote file:
- 76.7 MB
- SHA256:
- 08754e711b9ecaa36785dc64ad0c08317a93d106629c5f42cc5b9a406fe4aefc
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