Instructions to use bansky/sd-class-butterflies-64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bansky/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("bansky/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 bansky/sd-class-butterflies-64: direct link, hf CLI and curl.
- Browser
- Download file 455 MB
-
https://huggingface.co/bansky/sd-class-butterflies-64/resolve/main/diffusion_pytorch_model.bin
- Command line
-
hf download hf://bansky/sd-class-butterflies-64/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/bansky/sd-class-butterflies-64/resolve/main/diffusion_pytorch_model.bin
455 MB
- Xet hash:
- c75e53ce240c66c1e24bc75134a0f599236c74cc1f66df504da5ed1d8a1d9bc7
- Size of remote file:
- 455 MB
- SHA256:
- 31bb0436e23e29dcc12abcb95e54d09b1927cf7b7d95556579cde714f388644a
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