Instructions to use yanhaoxin/sd-class-butterflies-32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yanhaoxin/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("yanhaoxin/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:
- c4f533c66dd12588ea97347004a8c38116de6ee3f47c531382e7e632ea38ed15
- Size of remote file:
- 74.3 MB
- SHA256:
- a8022e74b555f9c9111a49a4165495b8667c1e2559a60b0c5d31ed73a844c6e7
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