Instructions to use bamine/sd-class-butterflies-32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bamine/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("bamine/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:
- 09cf8e2e0a2bdb5f0b34c8eb272fbd6a5efb697b2e5648c467e98838de4ef004
- Size of remote file:
- 74.3 MB
- SHA256:
- 6c3fb30d7171204c8dc78b272bb20631b3636110e279ca99b1d61727f7c43272
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