Create depth maps using Midas depth estimation.

Midas Depth Estimation

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

Output Format

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

Tile

UpscaleInput

UpscaleOutput

Location

Message

Error Type

ValidationError

FastAPI

Radius

BlurMaskInput

BlurMaskOutput

High threshold for the hysteresis procedure

High Threshold

Low threshold for the hysteresis procedure

Low Threshold

CannyInput

Color

Compare Text

Text to return if the input text does not match the compare text

Fail Text

Text to return if the input text matches the compare text

Return Text

Text

CompareTextInput

Background Image Url

Mask Image Url

Overlay Image Url

CompositeImageInput

Bbox

Det Score

Embedding File

Kps Image

FaceDetection

File

Pixels

The threshold to convert the image to a mask. 0-255.

Threshold

GrowMaskInput

GrowMaskOutput

ImageInput

ImageOutput

Image Size

ImageSizeOutput

Template

InsertTextInput

Det Size Height

Det Size Width

Max Face Num

Model Url

Sorting

InsightfaceInput

Faces

InsightfaceOutput

InvertMaskOutput

MaskInput

Color to replace the transparent pixels with

Transparent Color

RGBAToRGBImageInput

Pattern

Replace

RegexReplaceInput

Position of cropping. Only used when mode is 'crop', default is center

Cropping Position

Mode

Color of padding. Only used when mode is 'pad', default is black

Padding Color

Resizing strategy. Only used when mode is 'scale', default is nearest

Resampling

Proportions of the image. Only used when mode is 'scale', default is fit

Scaling Proportions

ResizeImageInput

If set, the output dimensions will be divisible by this value.

Enforce Divisibility

Maximum number of pixels in the output image.

Max Pixels

ResizeToPixelsInput

ShrinkMaskInput

ShrinkMaskOutput

TeedInput

TeedOutput

TextOutput

The threshold to convert the image to a mask.

TransparentImageToMaskInput

TransparentImageToMaskOutput

Run Any Stable Diffusion model with customizable LoRA weights.

Stable Diffusion with LoRAs


            The scale of the control net weight. This is used to scale the control net weight
            before merging it with the base model.
        

Conditioning Scale

optional URL to the controlnet config.json file.

Config Url


            The percentage of the image to end applying the controlnet in terms of the total timesteps.
        

End Percentage

URL of the image to be used as the control net.


            The index of the IP adapter to be applied to the controlnet. This is only needed for InstantID ControlNets.
        

Ip Adapter Index


            The mask to use for the controlnet. When using a mask, the control image size and the mask size must be the same and divisible by 32.
        

Mask Url

URL or the path to the control net weights.

Path


            The percentage of the image to start applying the controlnet in terms of the total timesteps.
        

Start Percentage

The optional variant if a Hugging Face repo key is used.

Variant

ControlNet

URL or the path to the embedding weights.


            The tokens to map the embedding weights to. Use these tokens in your prompts.
        

Tokens

Embedding


            The value to set the image projection shortcut to. For FaceID plus V1 models,
            this should be set to False. For FaceID plus V2 models, this should be set to True.
            Default is True.
        

Image Projection Shortcut

URL or the path to the InsightFace model weights.

Insight Face Model Path

URL of the image to be used as the IP adapter.

Ip Adapter Image Url


            The mask to use for the IP adapter. When using a mask, the ip-adapter image size and the mask size must be the same
        

Ip Adapter Mask Url

Subfolder in the model directory where the IP adapter weights are stored.

Model Subfolder

URL or the path to the IP adapter weights.


            The scale of the IP adapter weight. This is used to scale the IP adapter weight
            before merging it with the base model.
        

Scale Json

The factor to apply to the unconditional noising of the IP adapter.

Unconditional Noising Factor

Weight Name

IPAdapter

ImageSize


            Skips part of the image generation process, leading to slightly different results.
            This means the image renders faster, too.
        

Clip Skip


            If set to true, the controlnet will be applied to only the conditional predictions.
        

Controlnet Guess Mode


            The control nets to use for the image generation. You can use any number of control nets
            and they will be applied to the image at the specified timesteps.
        

Controlnets

If set to true, the latents will be saved for debugging.

Debug Latents

If set to true, the latents will be saved for debugging per pass.

Debug Per Pass Latents


            The embeddings to use for the image generation. Only a single embedding is supported at the moment.
            The embeddings will be used to map the tokens in the prompt to the embedding weights.
        

Embeddings

If set to true, the safety checker will be enabled.

Enable Safety Checker

The eta value to be used for the image generation.


            The CFG (Classifier Free Guidance) scale is a measure of how close you want
            the model to stick to your prompt when looking for a related image to show you.
        

Search

Input

Result

Logs