Instructions to use zhow/sd-class-butterflies-64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zhow/sd-class-butterflies-64 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("zhow/sd-class-butterflies-64", 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 diffusion_pytorch_model.bin from zhow/sd-class-butterflies-64: direct link, hf CLI and curl.
- Browser
- Download file 455 MB
-
https://huggingface.co/zhow/sd-class-butterflies-64/resolve/main/diffusion_pytorch_model.bin
- Command line
-
hf download hf://zhow/sd-class-butterflies-64/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/zhow/sd-class-butterflies-64/resolve/main/diffusion_pytorch_model.bin
455 MB
- Xet hash:
- 39aa95e0d62f1847b8e8d21f5139b2ef6f2891176cda4814d6ad8c054e735a46
- Size of remote file:
- 455 MB
- SHA256:
- ae485259e9e9520ab1b2bb18435480477345ac1da6bccf99f79d481d0d57d897
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