Instructions to use bansky/sd-class-butterflies-32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bansky/sd-class-butterflies-32 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("bansky/sd-class-butterflies-32", 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 bansky/sd-class-butterflies-32: direct link, hf CLI and curl.
- Browser
- Download file 74.3 MB
-
https://huggingface.co/bansky/sd-class-butterflies-32/resolve/main/diffusion_pytorch_model.bin
- Command line
-
hf download hf://bansky/sd-class-butterflies-32/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/bansky/sd-class-butterflies-32/resolve/main/diffusion_pytorch_model.bin
74.3 MB
- Xet hash:
- 3dd719247f8a0bd4669dbe81cf8f8343a244e8ef4b4148814f3eba08890288e6
- Size of remote file:
- 74.3 MB
- SHA256:
- cfb1ef08829b9d4fbbec10859530eb91e7fad0067b8a5b3e7d82d6a351d8828b
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