Instructions to use kzipa/sd-class-butterflies-32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kzipa/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("kzipa/sd-class-butterflies-32", torch_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:
- 7f537c50aed8b940e039f6d0c47a6f2ce5b5b4fe4f8c75b8cdeed337ca395e50
- Size of remote file:
- 74.3 MB
- SHA256:
- 048f87c64f5df9cc84c9ff91ba3a6b3c177cadaee803fbaee810e555ad6a0d0c
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