> 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/sogni-pocket/advanced-features/controlnet/depth-map.md).

# Depth Map

Use depth maps to gain full control over composition and spatial relationships from a reference image. This tool extracts object distance, shape, placement, and overall structure using a specialized ControlNet model. The following options are available:<br>

* **Depth:** Reproduces depth relationships directly from the reference image.
* Normal Bae: Ideal for architecture and design. Uses surface normal maps to infer depth and structure. Normal Bae tends to preserve details across both foreground and background, while the standard Depth model may focus more on foreground elements.
* Segmentation: Identifies and isolates distinct areas, objects, and subjects for reuse in your composition.

▶️ Watch Tutorial Video: [Depth ControlNet: Style Transfers with Spatial Precision.](https://youtu.be/QsWbxwE6PXI?feature=shared)


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