Shap-E
- Price
- Free
- API
- No
- Weights
- Yes
WHAT IT DOES
Generates 3D objects from text prompts or images using OpenAI's Shap-E model, a conditional generative model for 3D assets. Produces high-quality 3D meshes, point clouds, and neural radiance fields (NeRFs) from natural language descriptions. Supports both text-to-3D and image-to-3D workflows, generating detailed 3D models with realistic geometry and textures suitable for game assets, product visualization, and 3D printing applications. Open-source model with comprehensive documentation and active community support, making it ideal for research, prototyping, and educational use.
WHY WE PICKED IT
OpenAI's open-source 3D generation model with comprehensive documentation and active community, representing state-of-the-art conditional 3D asset generation from text and images.
QUICK FACTS
STRENGTHS
- ✓OpenAI's open-source 3D generation model
- ✓Supports text-to-3D and image-to-3D
- ✓Multiple output formats (meshes, point clouds, NeRFs)
- ✓Comprehensive documentation and community
- ✓Free and open-source
LIMITATIONS
- ⚠Distributed as code and model weights; there is no hosted product to sign into, so running it means self-hosting or a third-party host.
- ⚠Requires technical expertise for setup
- ⚠GPU resources needed for optimal performance
- ⚠Processing time may be longer than commercial tools
- ⚠Model quality may vary by input complexity
GETTING STARTED
Clone the Shap-E repository from GitHub. Follow installation instructions and set up dependencies. Download model weights and configure environment. For text-to-3D, enter detailed prompts describing 3D objects. For image-to-3D, upload reference images. Generate 3D models in desired format (mesh, point cloud, or NeRF). Review geometry and texture quality. Export in 3D formats. Free and open-source, suitable for research, prototyping, and educational use.
QUICK TIPS
OFFICIAL LINKS
SIMILAR TOOLS
USE CASE EXAMPLES
Text-to-3D Model Generation
Generate 3D models from text descriptions.
- Clone repository and install dependencies
- Download model weights
- Enter detailed 3D object descriptions
- Generate 3D models in desired format
- Review geometry and quality
- Export for use in projects
Image-to-3D Reconstruction
Create 3D models from reference images.
- Set up Shap-E environment
- Upload reference images
- Generate 3D models from images
- Review reconstruction quality
- Export in 3D formats
- Use in 3D workflows
PRICING
FEATURED IN GUIDES
What is Text-to-3D AI? Complete Guide 2026
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What is AI 3D Generation? Complete Guide 2026
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How to Use Text-to-3D AI Tools: Complete Guide 2026
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What are the best text-to-3D AI tools?
Real-world comparison of text-to-3D AI tools: Meshy AI for fast iteration, Tripo AI for reliable qua...
EXPLORE ALTERNATIVES
Compare Shap-E with 5+ similar text → 3d AI tools.
FREQUENTLY ASKED QUESTIONS
Is Shap-E free?
Yes, Shap-E is completely free to use.
Does Shap-E have an API?
No, Shap-E does not appear to offer a public API.
What is Shap-E best for?
Shap-E is best for Research. Generates 3D objects from text prompts or images using OpenAI's Shap-E model, a conditional generative model for 3D assets. OpenAI's open-source 3D generation model with comprehensive documentation and active community, representing state-of-the-art conditional 3D asset generation from text and images.
What platforms does Shap-E support?
Shap-E supports local, api.
Is Shap-E open source?
Yes, Shap-E is open source. You can access the source code on GitHub at https://github.com/openai/shap-e.
How do I get started with Shap-E?
Clone the Shap-E repository from GitHub. Follow installation instructions and set up dependencies. Download model weights and configure environment. For text-to-3D, enter detailed prompts describing 3D objects. For image-to-3D, upload reference images. Generate 3D models in desired format (mesh, poi...
How do I create 3D models with Shap-E?
Shap-E supports both text-to-3D and image-to-3D generation. You can create 3D models from text descriptions or convert reference images into 3D assets.
FEATURED ON CURATEDAI
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