Instructions to use arjoca/sd-class-butterflies-32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use arjoca/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("arjoca/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:
- 9a3f5059ff7c00ebdab4b20fee4190225f7b793595e96f96ecdf487188772e31
- Size of remote file:
- 74.3 MB
- SHA256:
- 1069f833bb8300e4926325886d0ec1adf9bd7b5156524cedaf3f6a48e3722ba7
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