Instructions to use Triple-ROCK/sd-class-butterflies-32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Triple-ROCK/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("Triple-ROCK/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:
- dbc6237e3c0a99200aab9e9e5b60cc5e9b0ba3a61c83b8ab8e2d55247d005e70
- Size of remote file:
- 74.2 MB
- SHA256:
- 0083a2c6b00b3dae938e5eed343503fbbc4516bbeb7287d8faab16477c3d64bd
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