Instructions to use royam0820/sd-class-butterflies-32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use royam0820/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("royam0820/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:
- 5042eec841d47827b958029e30e8c741d144dc1ced41f34ade1121cbe29fa10d
- Size of remote file:
- 74.3 MB
- SHA256:
- 4d95d5a754dfe23eaf580a74e8c315cba0a5428d801635635024324fc7efd789
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