Instructions to use SandyML/sd-class-butterflies-32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SandyML/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("SandyML/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 SandyML/sd-class-butterflies-32: direct link, hf CLI and curl.
- Browser
- Download file 74.3 MB
-
https://huggingface.co/SandyML/sd-class-butterflies-32/resolve/main/diffusion_pytorch_model.bin
- Command line
-
hf download hf://SandyML/sd-class-butterflies-32/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/SandyML/sd-class-butterflies-32/resolve/main/diffusion_pytorch_model.bin
74.3 MB
- Xet hash:
- 33ab358c669980bc1d87c6f997b7806f3ffdf0e1bd81edfe077e696aaf6c27a0
- Size of remote file:
- 74.3 MB
- SHA256:
- 945d41972944eea923ce731f404517e6b6abb20db3f021ce4acff1e85fd6347a
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