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stability-ai/sdxl-controlnet-union/inpainting

Sdxl Controlnet Union Inpainting by Stability AI - AI-powered image editing, style transfer, and transformation. Edit photos with natural language instructions, remove backgrounds, change styles, and enhance images effor...

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

PNG, JPEG, WebP, or GIF · 20 MiB maximum

The URL of the image to use as a starting point for the generation.

PNG, JPEG, WebP, or GIF · 20 MiB maximum

The URL of the mask to use for inpainting.
0.011
determines how much the generated image resembles the initial image Range: 0.01 to 1.

PNG, JPEG, WebP, or GIF · 20 MiB maximum

The URL of the control image.

PNG, JPEG, WebP, or GIF · 20 MiB maximum

The URL of the control image.
Whether to preprocess the normal image.
Whether to preprocess the teed image.

PNG, JPEG, WebP, or GIF · 20 MiB maximum

The URL of the control image.
Whether to preprocess the depth image.
Whether to preprocess the canny image.

PNG, JPEG, WebP, or GIF · 20 MiB maximum

The URL of the control image.

PNG, JPEG, WebP, or GIF · 20 MiB maximum

The URL of the control image.

PNG, JPEG, WebP, or GIF · 20 MiB maximum

The URL of the control image.
Whether to preprocess the openpose image.
Whether to preprocess the segmentation image.
The aspect ratio of the generated image. Allowed values: 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16.
The same seed and the same prompt given to the same version of Stable Diffusion will output the same image every time.
Enter a JSON array.
020
Range: 0 to 20.
170
Range: 1 to 70.
Idle

Example output — click Run to generate your own

API README

SDXL ControlNet Union

SDXL ControlNet Union occupies a clearly bounded position in a image production pipeline under the route stability-ai/sdxl-controlnet-union/inpainting. It is best evaluated as a named workflow endpoint rather than as a generic substitute for neighboring versions: planners can assign the route to a specific brief, record the chosen revision, and keep approval history tied to one predictable integration surface from intake through delivery.

A practical rollout of SDXL ControlNet Union should begin with source-readiness checks, ownership of the submitted material, an agreed budget, and a written definition of the final inpainting deliverable. Before automation is enabled, the acceptance pass should verify that the returned asset opens correctly, fits the intended downstream toolchain, satisfies the project’s review criteria, and can be reproduced from the stored request and route identity stability-ai/sdxl-controlnet-union/inpainting.

Highlights

  • Distinct output behavior. For SDXL ControlNet Union, for SDXL ControlNet Union, provide any of the declared edge, depth, normal, pose, or segmentation references In SDXL ControlNet Union, this capability is applied through the exact stability-ai/sdxl-controlnet-union/inpainting workflow with mask as a relevant request control; the mask control exposes the corresponding choice in this route; the mask control exposes the corresponding choice in this route.
  • Creative control. For SDXL ControlNet Union, for SDXL ControlNet Union, enable or disable preprocessing independently for every conditioning input In SDXL ControlNet Union, this capability is applied through the exact stability-ai/sdxl-controlnet-union/inpainting workflow with seed as a relevant request control; the seed control exposes the corresponding choice in this route; the seed control exposes the corresponding choice in this route.
  • Workflow fit. For SDXL ControlNet Union, for SDXL ControlNet Union, combine a base image, mask, and union control references In SDXL ControlNet Union, this capability is applied through the exact stability-ai/sdxl-controlnet-union/inpainting workflow with image as a relevant request control; the image control exposes the corresponding choice in this route; the image control exposes the corresponding choice in this route.
  • Production detail. For SDXL ControlNet Union, for SDXL ControlNet Union, set num_inference_steps between 1 and 70 In SDXL ControlNet Union, this capability is applied through the exact stability-ai/sdxl-controlnet-union/inpainting workflow with loras as a relevant request control; the loras control exposes the corresponding choice in this route; the loras control exposes the corresponding choice in this route.

Pricing

ConfigurationPrice
Per request$0.00125

When to Use

ScenarioWhy this model fits
Choose SDXL ControlNet UnionUse it when the required deliverable is specifically the image inpainting result documented for stability-ai/sdxl-controlnet-union/inpainting.
Match the source materialSelect this route when your inputs naturally map to mask, seed, image, loras.
Use its distinguishing capabilityFor SDXL ControlNet Union, provide any of the declared edge, depth, normal, pose, or segmentation references In SDXL ControlNet Union, this capability is applied through the exact stability-ai/sdxl-controlnet-union/inpainting workflow with mask as a relevant request control; the mask control exposes the corresponding choice in this route
Plan repeatable productionFor SDXL ControlNet Union, enable or disable preprocessing independently for every conditioning input In SDXL ControlNet Union, this capability is applied through the exact stability-ai/sdxl-controlnet-union/inpainting workflow with seed as a relevant request control; the seed control exposes the corresponding choice in this route
Confirm cost and deliveryUse the pricing combinations below and the output contract above when budgeting or automating SDXL ControlNet Union jobs.

Prompt Guide

Build the request around the exact stability-ai/sdxl-controlnet-union/inpainting schema. Start with required fields, then add only the controls needed for the intended output; keep URLs reachable and enum values exactly as shown in Technical Specs.

{
  "image": "https://raw.githubusercontent.com/CompVis/latent-diffusion/main/data/inpainting_examples/overture-creations-5sI6fQgYIuo.png",
  "prompt": "Ice fortress, aurora skies, polar wildlife, twilight",
  "mask": "https://static.sandbase.ai/examples/stability/sdxl-controlnet-union/inpainting/input_mask_6.png",
  "seed": 0
}

Technical Specs

SpecificationValue
Model IDstability-ai/sdxl-controlnet-union/inpainting
Execution modeasync
Required inputsprompt, image
Request fieldsmask (string, optional); seed (integer, optional); image (string, required); loras (array, optional); prompt (string, required); strength (number, optional, min 0.01, max 1); aspect_ratio (string, optional, options: 21:9 / 16:9 / 3:2 / 4:3 / 5:4 / 1:1 / 4:5 / 3:4 / 2:3 / 9:16); guidance_scale (number, optional, min 0, max 20); teed_image_url (string, optional); canny_image_url (string, optional); depth_image_url (string, optional); teed_preprocess (boolean, optional); canny_preprocess (boolean, optional); depth_preprocess (boolean, optional); normal_image_url (string, optional); normal_preprocess (boolean, optional); openpose_image_url (string, optional); num_inference_steps (integer, optional, min 1, max 70); openpose_preprocess (boolean, optional); segmentation_image_url (string, optional); segmentation_preprocess (boolean, optional)
Outputurl (string); content_type (string)

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