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Stability AI modelsimage generation api

stability-ai/fast-sdxl/inpainting

Fast Sdxl 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 effortlessly.

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.
020
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. Range: 0 to 20.
165
The number of inference steps to perform. Range: 1 to 65.
0.011
determines how much the generated image resembles the initial image Range: 0.01 to 1.
If set to true, the prompt will be expanded with additional prompts.
The list of LoRA weights to use.
An id bound to a request, can be used with response to identify the request itself.
The format of the generated image. Allowed values: jpeg, png.
The list of embeddings to use.
The version of the safety checker to use. v1 is the default CompVis safety checker. v2 uses a custom ViT model. Allowed values: v1, v2.
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.
Idle

Example output — click Run to generate your own

API README

Stable Diffusion XL

Stable Diffusion XL occupies a clearly bounded position in a image production pipeline under the route stability-ai/fast-sdxl/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 Stable Diffusion XL 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/fast-sdxl/inpainting.

Highlights

  • Distinct output behavior. For Stable Diffusion XL, for Stable Diffusion XL, direct the localized edit with the mask field instead of treating the whole frame alike In Stable Diffusion XL, this capability is applied through the exact stability-ai/fast-sdxl/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 Stable Diffusion XL, for Stable Diffusion XL, set transformation strength anywhere from 0.01 through 1 In Stable Diffusion XL, this capability is applied through the exact stability-ai/fast-sdxl/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 Stable Diffusion XL, for Stable Diffusion XL, attach LoRAs or embeddings when those resources are part of the edit In Stable Diffusion XL, this capability is applied through the exact stability-ai/fast-sdxl/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 Stable Diffusion XL, for Stable Diffusion XL, return JPEG by default or request PNG In Stable Diffusion XL, this capability is applied through the exact stability-ai/fast-sdxl/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 Stable Diffusion XLUse it when the required deliverable is specifically the image inpainting result documented for stability-ai/fast-sdxl/inpainting.
Match the source materialSelect this route when your inputs naturally map to mask, seed, image, loras.
Use its distinguishing capabilityFor Stable Diffusion XL, direct the localized edit with the mask field instead of treating the whole frame alike In Stable Diffusion XL, this capability is applied through the exact stability-ai/fast-sdxl/inpainting workflow with mask as a relevant request control; the mask control exposes the corresponding choice in this route
Plan repeatable productionFor Stable Diffusion XL, set transformation strength anywhere from 0.01 through 1 In Stable Diffusion XL, this capability is applied through the exact stability-ai/fast-sdxl/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 Stable Diffusion XL jobs.

Prompt Guide

Build the request around the exact stability-ai/fast-sdxl/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": "a tiger sitting on a park bench",
  "mask": "https://static.sandbase.ai/examples/stability/fast-sdxl/inpainting/input_mask_1.png",
  "seed": 0
}

Technical Specs

SpecificationValue
Model IDstability-ai/fast-sdxl/inpainting
Execution modeasync
Required inputsprompt, image
Request fieldsmask (string, optional); seed (integer, optional); image (string, required); loras (array, optional); format (string, optional, options: jpeg / png); prompt (string, required); strength (number, optional, min 0.01, max 1); embeddings (array, optional); request_id (string, optional); 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); expand_prompt (boolean, optional); guidance_scale (number, optional, min 0, max 20); num_inference_steps (integer, optional, min 1, max 65); safety_checker_version (string, optional, options: v1 / v2)
Outputurl (string); content_type (string)

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