Instructions to use buffaX/diffusion-butterflies-32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use buffaX/diffusion-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("buffaX/diffusion-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:
- f37f3f9c749994b06ff40ea9b78d468124ba97b57b21b199002c295bd52f21eb
- Size of remote file:
- 74.2 MB
- SHA256:
- 5e5e7fead852ba6e2a6b09eb6ad16e4b763358c421a077286f786ed667e004b0
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