> ## Documentation Index
> Fetch the complete documentation index at: https://dripart-claude-comfy-concurrency-limits-page-s84u33.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.
# MarigoldV2PostProcess - ComfyUI Built-in Node Documentation
> This node converts a decoded Marigold V2 prediction into a viewable image.
This node converts a decoded Marigold V2 prediction into a viewable image. It takes the raw prediction tensor and formats it depending on which type of prediction it is: normalized depth (near objects appear bright), unit-length surface normals, or sRGB albedo.
## Inputs
| Parameter | Description | Data Type | Required | Range |
| - | - | - | - | - |
| `image` | The decoded Marigold V2 prediction to be converted into a displayable image. | IMAGE | Yes | - |
| `prediction` | The type of prediction contained in the input, which determines how the data is converted. `"depth"` normalizes the depth values so that near surfaces are bright and far surfaces are dark, then copies the result into all three color channels. `"normals"` rescales the values to the -1..1 range, normalizes them into unit surface normals, and maps them back to 0..1. `"albedo"` applies a linear-to-sRGB conversion to the values. | COMBO | Yes | `"depth"`
`"normals"`
`"albedo"` |
## Outputs
| Output Name | Description | Data Type |
| - | - | - |
| `IMAGE` | The processed image in the selected representation: normalized depth (grayscale repeated across three channels), unit surface normals, or sRGB albedo. | IMAGE |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MarigoldV2PostProcess/en.md)
***
**Source fingerprint (SHA-256):** `848b29e2dfcd34c44cf9707b9b26cb13c18e82bb16618a15afbe477a1d620e1e`
This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.