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kjjk10 /lotus-diffusion-dense-prediction:9f9fa3ac

Input schema

The fields you can use to run this model with an API. If you don’t give a value for a field its default value will be used.

Field Type Default value Description
image
string
Input image for depth estimation
output_type
string (enum)
color

Options:

color, grayscale

Choose output type: 'color' for colorized depth map or 'grayscale' for raw depth
resample_method
string (enum)
bicubic

Options:

bilinear, bicubic, nearest

Resampling method for better quality
processing_resolution
integer (enum)
768

Options:

0, 512, 768, 1024

Maximum resolution for processing. Higher values give better quality at the cost of memory
disparity
boolean
True
Reverse the color mapping for disparity visualization

Output schema

The shape of the response you’ll get when you run this model with an API.

Schema
{'format': 'uri', 'title': 'Output', 'type': 'string'}