Instructions to use kzipa/sd-class-butterflies-64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kzipa/sd-class-butterflies-64 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kzipa/sd-class-butterflies-64", 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:
- 9534f11054a349b96e30d49c93fd902827846c83984e8d137d1a6ea8af438cb5
- Size of remote file:
- 455 MB
- SHA256:
- 23efa9370c1ce3528a6e08aa197181c371a1203cf719c85700378bcddf066c8d
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