Instructions to use ucantseeit/sd-class-butterflies-32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ucantseeit/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("ucantseeit/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:
- 38bc4d69cd1755ebf327f0863a47b7ae5d393aec40ccb5b87acbd099fb5f4192
- Size of remote file:
- 74.2 MB
- SHA256:
- 2decd0ed75d7ef2746737e49f3a5fa4c01aa9f39f2b144202c5c47a499260cda
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