MoGePanoramaInference - ComfyUI Built-in Node Documentation

Overview

This node performs depth estimation on equirectangular panorama images. It works by splitting the panorama into 12 perspective views, running the MoGe depth estimation model on each view, and then merging the results back into a single, complete depth map for the original panorama.

Inputs

Parameter	Description	Data Type	Required	Range
`moge_model`	The MoGe model to use for inference.	MOGE_MODEL	Yes
`image`	Equirectangular panorama image (any aspect ratio).	IMAGE	Yes
`resolution_level`	Per-view detail level. Higher values produce more detailed depth maps (default: 9).	INT	Yes	0 to 9
`split_resolution`	Resolution of each perspective view after splitting the panorama (default: 512).	INT	Yes	256 to 1024
`merge_resolution`	Long-side resolution of the final merged equirectangular depth map (default: 1920).	INT	Yes	256 to 8192
`batch_size`	Number of perspective views to process in each inference batch. The total number of views is 12 (default: 4).	INT	Yes	1 to 12

Outputs

Output Name	Description	Data Type
`moge_geometry`	A dictionary containing the estimated geometry: `points` (3D point cloud), `depth` (depth map), `mask` (valid area mask), and `image` (the input image).	MOGE_GEOMETRY

This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! Edit on GitHub

Source fingerprint (SHA-256): 3a701e3679bc35cd5fddc54868ac9c4bc9b4e23a5b97bbf61e46b7309e43600b

MoGeInference - ComfyUI Built-in Node Documentation

MoGePointMapToMesh - ComfyUI Built-in Node Documentation

​Overview

​Inputs

​Outputs

Overview

Inputs

Outputs