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
| { | |
| "_class_name": "ShapEPriorPipeline", | |
| "_diffusers_version": "0.17.0.dev0", | |
| "scheduler": [ | |
| "diffusers", | |
| "HeunDiscreteScheduler" | |
| ], | |
| "text_encoder": [ | |
| "transformers", | |
| "CLIPTextModelWithProjection" | |
| ], | |
| "tokenizer": [ | |
| "transformers", | |
| "CLIPTokenizer" | |
| ], | |
| "prior": [ | |
| "diffusers", | |
| "PriorTransformer" | |
| ], | |
| "renderer": [ | |
| "shap_e", | |
| "ShapERenderer" | |
| ] | |
| } |