lucataco / sdxl-inpainting

SDXL Inpainting by the HF Diffusers team

Warm

Public
2.4M runs
L40S
GitHub
Paper
License

Run with an API

Playground API Examples README Versions

Input

image

*file

Preview

Input image

mask

*file

Preview

Mask image - make sure it's the same size as the input image

prompt

string

Shift + Return to add a new line

Input prompt

Default: "modern bed with beige sheet and pillows"

negative_prompt

string

Shift + Return to add a new line

monochrome, lowres, bad anatomy, worst quality, low qualitymonochrome, lowres, bad anatomy, worst quality, low quality

Input Negative Prompt

Default: "monochrome, lowres, bad anatomy, worst quality, low quality"

scheduler

string

scheduler

Default: "K_EULER"

guidance_scale

number

(minimum: 0, maximum: 10)

Guidance scale

Default: 8

steps

integer

(minimum: 1, maximum: 80)

Number of denoising steps

Default: 20

strength

number

(minimum: 0.01, maximum: 1)

1.0 corresponds to full destruction of information in image

Default: 0.7

seed

integer

Random seed. Leave blank to randomize the seed

num_outputs

integer

(minimum: 1, maximum: 4)

Number of images to output. Higher number of outputs may OOM.

Default: 1

Run this model in Node.js with one line of code:

npx create-replicate --model=lucataco/sdxl-inpainting

or set up a project from scratch

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run lucataco/sdxl-inpainting using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/sdxl-inpainting:a5b13068cc81a89a4fbeefeccc774869fcb34df4dbc92c1555e0f2771d49dde7",
  {
    input: {
      mask: "https://replicate.delivery/pbxt/JiHHv0cwh14Fe6rwVhDjsoTPlQppdDLQBGruyVcgLzmBqtIZ/room_mask.png",
      seed: 26462,
      image: "https://replicate.delivery/pbxt/JiHHuryT8ftK6qKXwi4Q0qepAnMIUGoBjni0gUK9vTJfv0ai/room.png",
      steps: 20,
      prompt: "modern bed with beige sheet and pillows",
      strength: 0.7,
      scheduler: "K_EULER",
      num_outputs: 1,
      guidance_scale: 8,
      negative_prompt: "monochrome, lowres, bad anatomy, worst quality, low quality"
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run lucataco/sdxl-inpainting using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/sdxl-inpainting:a5b13068cc81a89a4fbeefeccc774869fcb34df4dbc92c1555e0f2771d49dde7",
    input={
        "mask": "https://replicate.delivery/pbxt/JiHHv0cwh14Fe6rwVhDjsoTPlQppdDLQBGruyVcgLzmBqtIZ/room_mask.png",
        "seed": 26462,
        "image": "https://replicate.delivery/pbxt/JiHHuryT8ftK6qKXwi4Q0qepAnMIUGoBjni0gUK9vTJfv0ai/room.png",
        "steps": 20,
        "prompt": "modern bed with beige sheet and pillows",
        "strength": 0.7,
        "scheduler": "K_EULER",
        "num_outputs": 1,
        "guidance_scale": 8,
        "negative_prompt": "monochrome, lowres, bad anatomy, worst quality, low quality"
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run lucataco/sdxl-inpainting using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "lucataco/sdxl-inpainting:a5b13068cc81a89a4fbeefeccc774869fcb34df4dbc92c1555e0f2771d49dde7",
    "input": {
      "mask": "https://replicate.delivery/pbxt/JiHHv0cwh14Fe6rwVhDjsoTPlQppdDLQBGruyVcgLzmBqtIZ/room_mask.png",
      "seed": 26462,
      "image": "https://replicate.delivery/pbxt/JiHHuryT8ftK6qKXwi4Q0qepAnMIUGoBjni0gUK9vTJfv0ai/room.png",
      "steps": 20,
      "prompt": "modern bed with beige sheet and pillows",
      "strength": 0.7,
      "scheduler": "K_EULER",
      "num_outputs": 1,
      "guidance_scale": 8,
      "negative_prompt": "monochrome, lowres, bad anatomy, worst quality, low quality"
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

Generated in

1.9 seconds

Tweak it ShareReport

Examples

View more examples

Run time and cost

This model costs approximately $0.0025 to run on Replicate, or 400 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia L40S GPU hardware. Predictions typically complete within 3 seconds.

Readme

About

Implementation of diffusers/stable-diffusion-xl-1.0-inpainting-0.1

With modifications to keep the original input image’s aspect ratio This model assumes that the mask image is the same size as the input image

Support

Give me a follow if you like my work! @lucataco93