Predict the probability of an image being NSFW.

NSFW Filter

Bg Th

Depth And Normal

Image Url

DepthMapInput

Image

DepthMapOutput

Detail

HTTPValidationError

Content Type

File Data

The name of the file. It will be auto-generated if not provided.

File Name

File Size

Height

The URL where the file can be downloaded from.

Width

Number of predictions to average over. Defaults to `10`. The higher the number, the more accurate the result, but the slower the inference.

Ensemble Size

Number of denoising steps. Defaults to `10`. The higher the number, the more accurate the result, but the slower the inference.

Num Inference Steps

Maximum processing resolution. Defaults `0` which means it uses the size of the input image.

Processing Res

MarigoldDepthMapInput

MarigoldDepthMapOutput

NSFWImageDetectionInput

Nsfw Probability

NSFWImageDetectionOutput


            If set to true, the resulting image be cropped to a bounding box around the subject
        

Crop To Bbox


            If set to true, the function will wait for the image to be generated and uploaded
            before returning the response. This will increase the latency of the function but
            it allows you to get the image directly in the response without going through the CDN.
        

Sync Mode

RemoveBackgroundInput

RemoveBackgroundOutput

Attempt better quality output using morphologyEx

Better Quality

Output black and white, multiple masks will be combined into one mask

Black White

Coordinates for multiple boxes, e.g. [[x,y,w,h],[x2,y2,w2,h2]]

Box Prompt

Confidence

Invert

IOU threshold for filtering the annotations

Label for point, [1,0], 0 = background, 1 = foreground

Point Label

Coordinates for multiple points [[x1,y1],[x2,y2]]

Point Prompt

Retina

Size

Text Prompt

With Contours

SamInput

SamOutput

Face

Model

Scale

Tile size. Default is 0, that is no tile. When encountering the out-of-GPU-memory issue, please specify it, e.g., 400 or 200

NSFW Filter

Input

Result

Logs