Instructions to use tablesalt/sd-class-butterflies-32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tablesalt/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("tablesalt/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:
- fd351a611429a21c344dc3bedac2993ec210a450821a82e947e85f3ce6bed7be
- Size of remote file:
- 74.3 MB
- SHA256:
- 0653c8b9e0ff30d235d8095fc54aadb1a06e43cbd329a4a8a596f04081863967
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