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AI to 3D Printing with OpenAi's Shape-E

3D modeling has become an essential skill in various industries, from gaming to AR/VR experiences. However, mastering 3D modeling can be time-consuming and expensive. Thankfully, there are AI applications like Shape-E that can generate 3D models for free.

Shape-E, developed by OpenAI, is a conditional generative model for 3D assets that can directly generate parameters of implicit functions for rendering textured meshes and neural radiance fields. This unique model offers versatile rendering options and easy integration into different 3D applications.

The training process of Shape-E involves a two-stage process using a Transformer-based encoder and a diffusion model. The details, including model weights, source code, and examples, can be found on its GitHub page and the official paper available on archive.org.

Using a Google Colab app, you can easily generate 3D models from text or images using Shape-E. The process involves cloning the project, installing dependencies, and specifying model parameters. You can customize the batch size, prompts, and rendering methods to generate unique 3D models.

Once generated, you can export the models into 3D printable formats for further use. While the generated models may need some cleanup and are not super detailed, it's a promising start towards the future of 3D model generation using AI prompts.

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