Shap-E — Generate 3D models from text and images
Shap-E generates 3D objects from text prompts or images for designers and developers
Shap-E is an open-source generative model that creates 3D objects conditioned on text descriptions or 2D images. This tool is designed for game developers, e-commerce managers, and industrial designers who need to rapidly prototype 3D assets without manual sculpting. By using an implicit representation of 3D geometry, Shap-E produces textured meshes and neural radiance fields that are ready for further refinement. Business owners can use Shap-E to generate product prototypes or environmental assets by simply typing a prompt. The technology allows for high-speed generation of diverse objects, reducing the time required for the initial design phase. This makes it an ideal solution for teams working on augmented reality applications or virtual storefronts where multiple 3D variations are needed quickly. The model supports flexible export options to standard formats used in the design industry. You can discover more technical implementations for this tool on surfai.app to see how it fits into modern production pipelines. The open-source nature of the project means it can be integrated into custom workflows or used for internal research projects. Shap-E is available for free as an open-source repository on GitHub, though running it requires your own hardware resources or cloud-based GPU instances. It offers a cost-effective alternative to traditional 3D software for businesses with technical capabilities.
- Pricing: free
Specifications
| Pricing | free |
|---|---|
| Integrations | Python, PyTorch, Blender, Unity, GitHub |
| Best for | game-developers, product-designers, e-commerce-owners, architects |
| Website status checked | 2026-10-19T00:00:56.837+00:00 |
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| Tool | Focus | Pricing model | Listed integrations |
|---|---|---|---|
| Shap-E | Shap-E generates 3D objects from text prompts or images for designers and developers | free | Python, PyTorch, Blender, Unity, GitHub |
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