Shap-E
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.
QUICK TIPS
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
EXPLORE ALTERNATIVES
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