Instructions to use pdhrn/sd-class-butterflies-32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pdhrn/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("pdhrn/sd-class-butterflies-32", torch_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:
- 677cf07e52d9f0dc433ef35cfe4af4bd29ecaa513960c2b18ece1ed61b824319
- Size of remote file:
- 74.3 MB
- SHA256:
- 6a9f965625800bfe2abde1619f86e52d0a47c57b54231d206691de6d81b0bbcd
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