Instructions to use feabries/sd-class-butterflies-32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use feabries/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("feabries/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:
- 64d388c68ac4a846c863dcd0263aea7c5ddb5ca85c158ebafc830b9d7fb2d9dc
- Size of remote file:
- 74.3 MB
- SHA256:
- a9bac7df66d23672becf6c179b91c2ebbd024fc36cb1524ddbdf8bd6f6b392d2
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