Instructions to use snow-leopard/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use snow-leopard/test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("snow-leopard/test", 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:
- 064b0665ab7531b4bad8104b70c04f623cdf90759b736a1180764647a7a54aac
- Size of remote file:
- 455 MB
- SHA256:
- 953d0a477a0a02ff17d5d37067da4029a16c1f38c4b4d8bfc60c0c3c46e88854
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