Instructions to use schdoel/sd-class-butterflies-64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use schdoel/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("schdoel/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 schdoel/sd-class-butterflies-64: direct link, hf CLI and curl.
- Browser
- Download file 74.3 MB
-
https://huggingface.co/schdoel/sd-class-butterflies-64/resolve/main/diffusion_pytorch_model.bin
- Command line
-
hf download hf://schdoel/sd-class-butterflies-64/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/schdoel/sd-class-butterflies-64/resolve/main/diffusion_pytorch_model.bin
74.3 MB
- Xet hash:
- d64b3d390759e057b638e53997b80bae4f4a9b2803cc9e095f85c655c0441743
- Size of remote file:
- 74.3 MB
- SHA256:
- c272a74773420a465bb9dd8da0753c3060ffa16d15d05f02754fc3d12786274a
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