Instructions to use JKSoon/sd-class-butterflies with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JKSoon/sd-class-butterflies with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("JKSoon/sd-class-butterflies", 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 JKSoon/sd-class-butterflies: direct link, hf CLI and curl.
- Browser
- Download file 74.3 MB
-
https://huggingface.co/JKSoon/sd-class-butterflies/resolve/main/diffusion_pytorch_model.bin
- Command line
-
hf download hf://JKSoon/sd-class-butterflies/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/JKSoon/sd-class-butterflies/resolve/main/diffusion_pytorch_model.bin
74.3 MB
- Xet hash:
- 532fc11b422b6840eb1be225cc8b0fc9a02718a8cdb3bf5f3f40218ae34ffe3f
- Size of remote file:
- 74.3 MB
- SHA256:
- ff939df2dbaab7eb30638bfb4d89461cabff24c5a8de1ace28bf84ea66a0103d
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