Shap-e

Welcome to Shap-e: Your Gateway to 3D Object Generation with AI

Discover the openai/shap-e GitHub repository, where the power of AI is harnessed to effortlessly create 3D objects from text or images. As you delve into this AI-driven world, consider becoming part of our vibrant community by creating an account on GitHub and contributing to the development of this innovative tool.

Shap-e boasts an array of remarkable features designed to enhance your development journey. These include streamlined workflow automation, package management, vulnerability detection, instant creation of development environments, and the ability to harness AI for code optimization. In addition to its coding prowess, Shap-e facilitates code management, work progress tracking, and seamless collaboration beyond code itself. You can explore these features further on the repository’s dedicated explore page.

To empower users on their quest for mastery, we provide comprehensive documentation and GitHub skills to help you unlock Shap-e’s full potential. Whether you’re a startup, educational institution, team, or enterprise, Shap-e offers invaluable support to automate workflows and elevate your projects.

Within the repository, you’ll find a treasure trove of files, including samples, shap_e, .gitignore, LICENSE, README.md, model-card.md, and samples.md. These files serve as invaluable references and sources of information for your journey with Shap-e.

We believe in openness and collaboration, which is why the repository is publicly accessible and licensed under MIT, granting you the freedom to access and modify the source code as needed. To get started with codespaces, simply sign in and explore the endless possibilities that Shap-e offers.

In summary, Shap-e is a valuable addition to the AI community, simplifying the creation of 3D objects with speed and ease. Join us in this transformative journey and unlock the potential of AI-driven 3D object generation.

As part of our community you may report an AI as dead or alive to keep our community safe, up-to-date and accurate.

An AI is considered “Dead AI” if the project is inactive at this moment.

An AI is considered “Alive AI” if the project is active at this moment.