# Introduction

Leoma is an **AI video subnet** on [Bittensor](https://docs.learnbittensor.org/). Miners run **Text-Image to Video (TI2V)** models; validators sample tasks (first frame + prompt from real clips), send challenges to miners, evaluate outputs, and set on-chain weights from the current pass-based ranking results.

**Supported model type (current):** **Text-Image to Video (TI2V)** only.

**Roadmap:** Support for **Text-to-Video (T2V)** and **Image-to-Video (I2V)** is planned.

## Contents

* [**Getting started**](/getting-started.md) — Protocol overview and Bittensor context
* [**Miner setup**](/mining.md) — Hugging Face model (naming, upload), on-chain commit, monitoring
* [**Validator setup**](/validation.md) — Validator setup and workflow
* [**Storage (Hippius S3)**](/storage.md) — Source videos and sample artifacts
* [**API reference**](/api.md) — Leoma API endpoints and auth

## Resources

* **App / dashboard:** Leoma frontend (Overview, Product, Network, Docs, Help)
* **Whitepaper:** Protocol details and incentives
* **Community:** Discord, Twitter, GitHub (see Help page in the app)


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.leoma.ai/readme.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.