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
File size: 496 Bytes
2e115fe | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 | {
"_class_name": "ShapERenderer",
"_diffusers_version": "0.18.0.dev0",
"act_fn": "swish",
"d_hidden": 256,
"d_latent": 1024,
"insert_direction_at": 4,
"n_hidden_layers": 6,
"n_output": 12,
"param_names": [
"nerstf.mlp.0.weight",
"nerstf.mlp.1.weight",
"nerstf.mlp.2.weight",
"nerstf.mlp.3.weight"
],
"param_shapes": [
[
256,
93
],
[
256,
256
],
[
256,
256
],
[
256,
256
]
]
}
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