Inpainting sdxl and sd

Detail

HTTPValidationError

Content Type

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

Image


            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.
        

Guidance scale (CFG)

Image Url

Input mask for inpaint mode. Black areas will be preserved, white areas will be inpainted.

Mask Url

URL or HuggingFace ID of the base model to generate the image.

Model Name


            The negative prompt to use. Use it to address details that you don't want
            in the image. This could be colors, objects, scenery and even the small details
            (e.g. moustache, blurry, low resolution).
        

Negative Prompt


            Increasing the amount of steps tells Stable Diffusion that it should take more steps
            to generate your final result which can increase the amount of detail in your image.
        

Number of inference steps

The prompt to use for generating the image. Be as descriptive as possible for best results.

Prompt


            The same seed and the same prompt given to the same version of Stable Diffusion
            will output the same image every time.
        

Seed

InpaintInput


            Seed of the generated Image. It will be the same value of the one passed in the
            input or the randomly generated that was used in case none was passed.
        

InpaintOutput

Location

Message

Error Type

ValidationError

FastAPI

Segment Anything Model

Bg Th

Depth And Normal

DepthMapInput

DepthMapOutput

File Data

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

Search

Input

Result

Logs