> For the complete documentation index, see [llms.txt](https://support.skylum.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://support.skylum.com/luminar-for-web/how-to-use-luminar-for-web/editing-tools/portrait/face-ai.md).

# Face AI

Learn how to enhance facial features naturally with Face AI, designed to bring out the best in every portrait.

**Face AI** uses AI to detect and enhance faces in your photo while keeping the results natural. Use it to subtly reshape the face or improve facial lighting without affecting the rest of the image.

**How to Use:** Select Face AI and adjust the sliders to refine the appearance of the detected face.

* **Face Slim.** Subtly adjusts the shape and proportions of the face for a slimmer appearance. It can also help reduce the effect of lens distortion in portraits.
* **Face Light.** Adjusts the brightness of the face without changing the lighting in the rest of the photo. Increase the value to brighten the face and bring more attention to the subject.

**When to Use:** Ideal for portraits where you want to subtly refine facial proportions, brighten a face that appears too dark, or create more balanced lighting between the subject and the rest of the scene.


---

# 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 by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://support.skylum.com/luminar-for-web/how-to-use-luminar-for-web/editing-tools/portrait/face-ai.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

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.
