Instructions to use bowwwave/sd-class-butterflies-32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bowwwave/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("bowwwave/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:
- 43ef9308f4eba0c83c9ebd9f6fcdfb4025a1c08935b375cb2466e098bb1f00ce
- Size of remote file:
- 74.3 MB
- SHA256:
- cf4b755d291958001946b690b472733f2dc038702011506cb17064b70fa0d9ee
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