Instructions to use percool/test-sd-class-butterflies-32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use percool/test-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("percool/test-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:
- 244ca60a04410cca06bd3e29a7b4fb2c3d2583aabe4cffc8ee2540c20552e271
- Size of remote file:
- 74.3 MB
- SHA256:
- f61bb3851fd6ceaf96e31edce4a56a6beae60b67f4a0b74f7baa533f91b9a763
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