Instructions to use epsil/sd-class-butterflies-32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use epsil/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("epsil/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:
- 4d875230a8ccfab7757180a891b397520131988b3523792e431d69d7c4e03090
- Size of remote file:
- 74.3 MB
- SHA256:
- f5bff6953baf0d4cb06cf21c8dd99fe84abb5336291b5f66c863790665c2b438
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