Instructions to use bobber/sd-class-butterflies-32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bobber/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("bobber/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:
- 263cb5916e44fd7d2bb6cfacee37749e9be01eeb818d1f7ab814c9b5a8d2da9c
- Size of remote file:
- 74.3 MB
- SHA256:
- a5144fa1759027b02aeb0632ca83ff9247536c3816a6e646b08dde290f510c8c
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