openai/shap-e

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

12261 stars · 1079 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Shap-E is OpenAI's official release of a generative model that produces 3D implicit functions conditioned on text prompts or images. It includes model weights and example notebooks for sampling 3D assets and encoding existing 3D models.

Use cases

• generate 3d models from text prompts
• create 3d assets from a single image
• convert a mesh into a latent representation
• render generated 3d objects as gifs or meshes
• experiment with conditional 3d generative models

When to choose

• you want to generate 3D assets from text or images with pretrained models
• you need a research baseline for text-to-3D generation
• you want to encode existing meshes into Shap-E's latent space

When to avoid

• you need production-quality, game-ready 3D assets with clean topology
• you have no GPU available for inference
• you need actively maintained code with recent updates

Facets

library · maturity maintenance

machine-learning deep-learning image-processing graphics artificial-intelligence machine-learning graphics python text-to-3d image-to-3d generative-models 3d-generation diffusion-models implicit-functions game-development gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="openai/shap-e")