Instructions to use openai/shap-e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use openai/shap-e with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("openai/shap-e", 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:
- effaf87f35ee6928681f7a80f8ddde6baa6f012390419a9a73a12edb344e3084
- Size of remote file:
- 1.26 GB
- SHA256:
- df21cb49c7f10eb02f6ce485a59c86601d03707b80d715335f0be6be89b1226e
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