> For the complete documentation index, see [llms.txt](https://sogni.gitbook.io/sogni-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://sogni.gitbook.io/sogni-docs/welcome-to-sogni.md).

# Welcome to Sogni

Welcome to the **Sogni AI Documentation**, your comprehensive guide to harnessing the power of Sogni’s cutting-edge AI ecosystem. Designed for developers, artists, and innovators, Sogni AI revolutionizes creative workflows with blazing-fast speeds, unparalleled scalability, and intuitive accessibility.

At the core of Sogni lies the **Sogni Supernet**, a Decentralized Physical Infrastructure Network (DePIN) purpose-built for Creative AI. This protocol unlocks unmatched rendering capabilities by leveraging distributed compute power. With the Sogni Supernet's technology, artists can generate up to 512 images simultaneously while maintaining industry-leading precision and quality.

***

**▶️** [**Tutorial Videos**](https://www.youtube.com/@SogniAI?sub_confirmation=1) ✨

#### 🤔 Need more help? Join our Discord!

For any questions regarding the use of Sogni, tips, suggestions, bugs, sharing art, discussing AI and life, or simply hanging out, please feel free to join our Discord today!\
\
[Join Sogni Discord](https://discord.com/invite/2JjzA2zrrc) ✨


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# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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://sogni.gitbook.io/sogni-docs/welcome-to-sogni.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.