Instructions to use Sanyam0605/sd-class-butterflies-32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Sanyam0605/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("Sanyam0605/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:
- 151264b7bae795e13afa5204478f81d4eeb595972965b1bca54a432ce9158f49
- Size of remote file:
- 74.2 MB
- SHA256:
- 162d9d4531b37962fc9fea81b8110a25abde09da747144c13fc069ac9b47ffa7
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