# SDXL Inpainting

Canonical page: https://fuser.studio/models/sdxl-inpainting

SDXL Inpainting in Fuser regenerates a masked area of an image from a text prompt, so you can swap objects, fix details or extend a backdrop in place.

## Specs

| Spec | Value |
| --- | --- |
| Inputs | Input Image (image), Mask Image (image), Prompt (text), Negative Prompt (text) |
| Output | image |
| Cost | 7 credits per run |

High-speed localized image editing with seamless boundary blending and natural shadow propagation

Creator: Stability AI

[Inpaint image](https://app.fuser.studio)

## How SDXL Inpainting works

Swap objects, refine textures, and extend backgrounds through masked spatial guidance and targeted text prompts.

### Upload image and mask

Provide a sharp source image alongside a high-contrast binary mask defining the region to modify.

### Describe target edits

Write a focused natural-language prompt describing only what should appear within the masked zone.

### Adjust strength and generate

Set your strength value between subtle retexturing and complete replacement, then generate in seconds.

## What SDXL Inpainting is good at

Engineered with dedicated spatial inpainting channels and dual text encoders for seam-free modifications and exact lighting matching.

### Contextual Boundary Blending

Dedicated mask-conditioning channels in the UNet architecture interpret scene boundaries accurately, eliminating harsh seams and mismatching edge artifacts.

### Precision Retexturing Control

Adjust image strength between 0.4 and 0.7 to alter patterns and fabric finishes while strictly preserving underlying geometry, folds, and contours.

### Coherent Shadow and Light Matching

Dual CLIP encoders interpret descriptive lighting cues to balance ambient illumination, directional shadows, and reflection vectors with the unmasked image.

### High-Resolution Native Output

Generate high-detail replacements directly at native 1024x1024 resolution across standard aspect ratio presets without blurriness or downscaling artifacts.

## Made with SDXL Inpainting

Explore precise object replacements, fabric retexturing, and environmental modifications integrated cleanly into source compositions.

### Commercial product retexturing and replacement

### Atmospheric cinematic element insertion

### Surreal album art object collision

### Archival scene restoration and detail correction

### High-fidelity apparel and accessory swapping

## What people build with SDXL Inpainting

See how production teams and visual artists use fast localized diffusion to retouch photography and generate product variants.

### Fashion and apparel retexturing

Swap garment textures, change textile patterns, and alter color palettes on existing studio models without compromising fabric folds or lighting.

### Commercial product retouching

Replace props, remove background clutter, and insert updated product components while matching the original shadow angles and reflections.

### Concept art scene extension

Paint cinematic props, environmental fixtures, and architectural elements directly into concept frames with automated perspective alignment.

### E-commerce catalog staging

Generate seasonal background variants and stage props around catalog items at native 1024x1024 resolution without reshooting.

### Editorial portrait cleanup

Correct facial features, remove stray elements, or replace accessories in editorial portraiture using feathered mask borders.

## Frequently Asked Questions

### What is SDXL Inpainting best used for?

SDXL Inpainting excels at targeted object replacement, background swapping, fabric retexturing, and localized detail restoration in existing images. Because it integrates dedicated mask channels into the UNet architecture, it seamlessly matches the surrounding lighting, perspective, and shadow falloff.

### How does the Image Strength setting affect inpainting results?

Image strength controls how heavily the masked area is transformed, ranging from subtle modifications to total replacement. Set strength between 0.85 and 1.0 to generate entirely new objects or replace masked elements completely. Lower strength to 0.4–0.7 when recoloring or retexturing an item while strictly preserving its original contours and fold structures.

### How should I prepare masks for the best blending results?

Use a high-contrast binary mask where pure white (RGB 255) marks the edit zone and black protects untouched pixels. Slightly feathering the mask edges by 4 to 12 pixels eliminates hard borders and ensures smooth alpha blending. When replacing an object, draw the mask slightly larger than the target element to give the model room to reconstruct clean background contours.

### What are the limitations of SDXL Inpainting?

SDXL Inpainting struggles with tiny typography, intricate vector logos, and complex anatomical additions from scratch at low step counts. It is also not intended for full-image composition changes, where standard image-to-image workflows are more suitable.

### Who created SDXL Inpainting and when was it released?

SDXL Inpainting was developed by Stability AI and released on July 26, 2023. It enhances the base SDXL latent diffusion architecture with specialized mask-conditioning input channels for native 1024x1024 spatial editing.

## Try SDXL Inpainting on Fuser

High-speed localized image editing with seamless boundary blending and natural shadow propagation

[Inpaint image](https://app.fuser.studio)

## Related models

- [Fast SDXL](https://fuser.studio/models/fast-sdxl.md)
- [Gemini Image](https://fuser.studio/models/gemini-image.md)
- [GPT Image](https://fuser.studio/models/gpt-image.md)
- [Seedream](https://fuser.studio/models/seedream.md)
- [FLUX.3 Image](https://fuser.studio/models/flux-3-image.md)
- [FLUX.2](https://fuser.studio/models/flux-2.md)

Node reference: [SDXL Inpainting docs](https://docs.fuser.studio/docs/nodes/image/sdxl-inpainting.md)

## More articles

- [AI Image Generation Glossary: 31 Terms Explained](https://fuser.studio/articles/ai-image-generation-glossary.md)