Instructions to use wangjun/sd-class-butterflies-32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjun/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("wangjun/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
- Xet hash:
- 27474dfe96c9d140af59d0a9a775de5e4e1c2b7509e42eed1b4fa8eb78e685ab
- Size of remote file:
- 74.3 MB
- SHA256:
- 7d7db0e37190f1b4e6520bc5f53cfc631e7683e828154b9d030012caee586b54
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