> For the complete documentation index, see [llms.txt](https://know.rendernetwork.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://know.rendernetwork.com/getting-started/how-to-build-assembly-pipelines-with-octane-and-the-render-network/working-with-point-clouds-scatters-in-houdini.md).

# Working with Point Clouds (Scatters) in Houdini

{% embed url="<https://youtu.be/k85KO2zsU44?si=FmiZimfrIFrWOntd>" %}

#### What are **point clouds?**

In the Octane Standalone pipeline, point clouds act as scatter controllers - defining the position, rotation, and scale of instanced assets like trees, debris, lights, and more. Instead of baking geometry-heavy ORBX files, Andrey Lebrov's **LMI Point Cloud Baker** exports CSV files containing only transform data.

**Why this matters:**

* ORBX baking of scatter data duplicates geometry per instance → huge scene bloat.
* The LMI Point Cloud Baker:
  * Extracts transform data from Houdini point systems
  * Supports **split-by-ID exports** for multiple asset types (e.g., 5 tree species = 5 CSVs)
  * Delivers **live-linked scatter nodes** in Octane Standalone - update once, update everywhere<br>

**Use Cases:**

* Animated forests
* Procedural cities using nested assemblies
* Layout replication with point cloud-driven asset connections

**Bonus:**\
These CSV scatter files can be refreshed and updated in Standalone anytime, to update your scatter simply re-export from Houdini and click refresh on the scatter node in Standalone

### Assembly Resources

* [Render Network Manager](https://rendernetwork.com/resources/Downloads)
* [Octane Standalone](https://render.otoy.com/account/downloads.php?#core)
* [Andrey Lebrov on YouTube](https://www.youtube.com/@AndreyLebrov)
* [LMI Tools Houdini](https://yt.lebrov.com/NLBC56)
* [LMI Tools Blender](https://yt.lebrov.com/aYoUSc)
* [LMI Tools C4D](https://yt.lebrov.com/td0Hd0)


---

# 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, and the optional `goal` query parameter:

```
GET https://know.rendernetwork.com/getting-started/how-to-build-assembly-pipelines-with-octane-and-the-render-network/working-with-point-clouds-scatters-in-houdini.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.
