Instructions to use haor/sd-class-butterflies-32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use haor/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("haor/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:
- a4d6c6a101085bd51d6be1de1e897e35d90f082d73d7e90e8719a49c69b80030
- Size of remote file:
- 74.3 MB
- SHA256:
- cb094434da03313a6e429e9069761050262ddc631e5b6929f23b2dace2e70903
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