Shap-E - AI Vision Models Tool

Overview

Shap-E is an official OpenAI GitHub repository for generating 3D implicit functions conditioned on text or images. It provides sample notebooks and usage instructions for converting text prompts or images into 3D models.

Key Features

• Generates 3D implicit functions from text or image conditioning
• Converts text prompts or images into 3D models
• Includes sample notebooks demonstrating common workflows
• Provides usage instructions for model inference and conversion
• Hosted on OpenAI's official GitHub repository

Ideal Use Cases

• Prototype 3D objects from text prompts for design exploration
• Convert reference images into 3D shapes for visualization
• Create concept assets for games, AR/VR, or product design
• Explore research ideas around text-to-3D and image-to-3D methods

Getting Started

• Visit the repository at https://github.com/openai/shap-e to review code and documentation
• Clone the repository to your local environment
• Install dependencies listed in the repository documentation
• Open and run the provided sample notebooks
• Use provided examples to convert text or image prompts into 3D models

Pricing

No pricing information is provided in the repository; code and resources are hosted on GitHub.

Key Information

• Category: Vision Models
• Type: AI Vision Models Tool