Instructions to use WinSenX/sd-class-butterflies-32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WinSenX/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("WinSenX/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
File size: 133 Bytes
ef38416 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:024b2b0d3bb3d5a1b3f79822ece7628bc2d4a7e71ca72014acf84f72f73b63cc
size 74292585
|