---

name: stable-diffusion-inpainting description: "Stable Diffusion Inpainting | AI Image Inpainting. Edit and fill parts of images using masks and text prompts. Triggers: sd inpainting, inpaint, image editing, mask fill, stable diffusion inpaint" allowed-tools: Bash(curl *), WebFetch

Stable Diffusion Inpainting

Edit and fill parts of images using masks and text prompts with Stable Diffusion. Specify areas to regenerate with a black-and-white mask and guide the generation with a text prompt.

Quick Start

Requires an each::labs API key. Get one at eachlabs.ai.

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "stable-diffusion-inpainting",
    "version": "0.0.1",
    "input": {
      "prompt": "a beautiful garden with colorful flowers and butterflies",
      "image": "https://example.com/backyard.jpg",
      "mask": "https://example.com/mask.jpg",
      "guidance_scale": 7.5,
      "num_inference_steps": 50
    }
  }'

Parameters

Parameter	Type	Default	Description
disable_safety_checker	boolean	false	Disable safety checker for generated images
guidance_scale	number	7.5	Scale for classifier-free guidance
height	integer	512	Output image height
image	string	-	Initial image to generate variations of. Will be resized to height x width
mask	string	-	Black and white mask image. White areas are inpainted
negative_prompt	string	-	Specify things to not see in the output
num_inference_steps	integer	50	Number of denoising steps
num_outputs	integer	1	Number of images to generate
prompt	string	a vision of paradise. unreal engine	Input prompt
scheduler	string	DPMSolverMultistep	Scheduler. enum: DDIM, K_EULER, DPMSolverMultistep, K_EULER_ANCESTRAL, PNDM, KLMS
seed	integer	-	Random seed. Leave blank to randomize
width	integer	512	Output image width

Examples

Object removal and replacement:

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "stable-diffusion-inpainting",
    "version": "0.0.1",
    "input": {
      "prompt": "a clean wooden desk with a laptop and a cup of coffee, office background",
      "image": "https://example.com/messy-desk.jpg",
      "mask": "https://example.com/desk-mask.jpg",
      "negative_prompt": "blurry, low quality, distorted",
      "guidance_scale": 8,
      "num_inference_steps": 50,
      "scheduler": "K_EULER"
    }
  }'

Multiple inpainting outputs:

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "stable-diffusion-inpainting",
    "version": "0.0.1",
    "input": {
      "prompt": "a cute orange tabby cat sitting on a windowsill",
      "image": "https://example.com/window.jpg",
      "mask": "https://example.com/windowsill-mask.jpg",
      "num_outputs": 3,
      "guidance_scale": 7.5,
      "num_inference_steps": 40,
      "seed": 42
    }
  }'

Related Models

• flux-fill-pro - Flux-based pro inpainting
• realisitic-vision-v3-inpainting - Realistic vision inpainting
• sdxl-ad-inpaint - SDXL ad product inpainting

Documentation

• each::labs Docs
• API Reference