Instructions to use stabilityai/sp4d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stabilityai/sp4d with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/sp4d", 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:
- 1d7197ca9fd64e4cf364c6ea6abb44eacfcacf2cf5144a7c5fa838de238f6d0b
- Size of remote file:
- 2.2 MB
- SHA256:
- e32a42c6249c065cab7f72b268af1392d69b3a065d492d6e72a2e29d6dcc9fd2
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