ml-for-3d-course/main/en/unit5/introduction.md

# Introduction

[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://githubtocolab.com/dylanebert/ml-for-3d-course-notebooks/blob/main/capstone.ipynb)

Welcome to the final capstone project of the course.

To complete the course and receive a certificate, you will create and host your own Generative 3D model and demo.

## Requirements

- **Model**: A model hosted under your username, e.g. `hf.co/{username}/{model_name}`.
  - Ensure there is a [model card](https://huggingface.co/docs/hub/en/model-cards).
  - Tag the model with the `image-to-3d` pipeline tag.
  - Apply the correct license if applicable.
  
- **Space**: A space hosted under your username, e.g. `hf.co/spaces/{username}/{space_name}`.
  - Ensure the space converts images (`.png`, `.jpg`) to 3D (`.glb`, `.obj`, `.ply`, `.splat`).
  - Reference your model URL in the space README.

## What's expected

This capstone project is very open-ended. You can:

- Build something from scratch.
- Train or fine-tune an existing open-source model.
- Clone and existing open-source model and change the demo experience.
- Directly clone an open-source model and demo.

Check out [3D Arena](https://huggingface.co/spaces/dylanebert/3d-arena) for the latest image-to-3D demos to use as starting points.

Here is an example [model](https://huggingface.co/dylanebert/LGM-full) and [space](https://huggingface.co/spaces/dylanebert/LGM-tiny).

## Step-by-step

If you aren't sure how to get started, the following sections will guide you through the process.

Otherwise, you can start right away.

## Join the community

Want to ask questions? Share your work? Chat with the community? 

[Join the Discord](https://hf.co/join/discord)!