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What is Shap-e?

OpenAI's shap-e is a Python-based tool for generating 3D objects conditioned on text and images. It uses implicit functions to generate 3D models based on user-defined prompts and synthetic view images. Installation is simple with pip install, and users can access sample notebooks and examples for getting started with the tool. The tool also includes an encode_model.ipynb feature that can load 3D models and encode latents to render back. Overall, shap-e is a powerful tool for creating 3D models with text and image prompts.

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⭐ Shap-e Core features

  • ✔️ Generating
  • ✔️ 3d objects
  • ✔️ Conditioned on text and images
  • ✔️ Using implicit functions
  • ✔️ Loading 3d models and encoding latents to render back

⚙️ Shap-e use case ideas

  1. Creating 3D models for video games and virtual reality applications.
  2. Generating 3D models for product design and prototyping.
  3. Creating 3D models for architectural visualization.
  4. Generating 3D models for scientific visualization and data analysis.
  5. Creating 3D models for art and animation projects.

🙋‍♂️ Users of this tool

3d artists
Product designers
Game developers
Ai researchers
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❓ Shap-e FAQ

OpenAI's shap-e is a Python-based tool for generating 3D objects conditioned on text and images.
Getting started with Shap-e is easy! Simply visit the official website and sign up for an account to start.
Shap-e uses a Free pricing model , meaning there is a free tier along with other options.
The typical users of Shap-e include:
  • 3d artists
  • Product designers
  • Game developers
  • Ai researchers
Follow Shap-e on social media to stay updated with the latest news and features: