Instructions to use ben765/sd-class-butterflies-32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ben765/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("ben765/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:
- 7bb2bdebd731b71f00d487ca1200f1ae8b960e0468cf53c8d3fb1d2011f349d2
- Size of remote file:
- 74.3 MB
- SHA256:
- 8d9163d0c59aab3afc5f7b9ae47e2d50d07254e67c8090cacec71519aade00b6
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