ikun-ai/inpainting-xl – Run with an API on Replicate

Input

image

*file

Preview

Input image

mask

*file

Preview

Mask image

prompt

string

Shift + Return to add a new line

Input prompt

Default: "An astronaut riding a rainbow unicorn"

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

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

npx create-replicate --model=ikun-ai/inpainting-xl

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 ikun-ai/inpainting-xl using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "ikun-ai/inpainting-xl:8f812406b5175472d941d5a228d0a0a210b7ce450aa442bc348eab36b44b98a2",
  {
    input: {
      mask: "https://replicate.delivery/pbxt/JjLE4mcG0N7FupsWF85ISfA72fDBmB1W3AnPxJwE4RfAzzQL/1696756684893000mask.png",
      image: "https://replicate.delivery/pbxt/JjLE4sNWRS9ep4mTUHWqX3PsbtCsUKbt3C83LAQLCUrkFiow/a%20cute%20rabbit.png",
      steps: 20,
      prompt: "a cute dog",
      strength: 0.8,
      scheduler: "K_EULER_ANCESTRAL",
      guidance_scale: 8,
      negative_prompt: "monochrome, lowres, bad anatomy, worst quality, low quality"
    }
  }
);
console.log(output);

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 ikun-ai/inpainting-xl using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "ikun-ai/inpainting-xl:8f812406b5175472d941d5a228d0a0a210b7ce450aa442bc348eab36b44b98a2",
    input={
        "mask": "https://replicate.delivery/pbxt/JjLE4mcG0N7FupsWF85ISfA72fDBmB1W3AnPxJwE4RfAzzQL/1696756684893000mask.png",
        "image": "https://replicate.delivery/pbxt/JjLE4sNWRS9ep4mTUHWqX3PsbtCsUKbt3C83LAQLCUrkFiow/a%20cute%20rabbit.png",
        "steps": 20,
        "prompt": "a cute dog",
        "strength": 0.8,
        "scheduler": "K_EULER_ANCESTRAL",
        "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 ikun-ai/inpainting-xl 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": "8f812406b5175472d941d5a228d0a0a210b7ce450aa442bc348eab36b44b98a2",
    "input": {
      "mask": "https://replicate.delivery/pbxt/JjLE4mcG0N7FupsWF85ISfA72fDBmB1W3AnPxJwE4RfAzzQL/1696756684893000mask.png",
      "image": "https://replicate.delivery/pbxt/JjLE4sNWRS9ep4mTUHWqX3PsbtCsUKbt3C83LAQLCUrkFiow/a%20cute%20rabbit.png",
      "steps": 20,
      "prompt": "a cute dog",
      "strength": 0.8,
      "scheduler": "K_EULER_ANCESTRAL",
      "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.

Install Cog

brew install cog

If you don’t have Homebrew, there are other installation options available.

Pull and run ikun-ai/inpainting-xl using Cog (this will download the full model and run it in your local environment):

cog predict r8.im/ikun-ai/inpainting-xl@sha256:8f812406b5175472d941d5a228d0a0a210b7ce450aa442bc348eab36b44b98a2 \
  -i 'mask="https://replicate.delivery/pbxt/JjLE4mcG0N7FupsWF85ISfA72fDBmB1W3AnPxJwE4RfAzzQL/1696756684893000mask.png"' \
  -i 'image="https://replicate.delivery/pbxt/JjLE4sNWRS9ep4mTUHWqX3PsbtCsUKbt3C83LAQLCUrkFiow/a%20cute%20rabbit.png"' \
  -i 'steps=20' \
  -i 'prompt="a cute dog"' \
  -i 'strength=0.8' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'guidance_scale=8' \
  -i 'negative_prompt="monochrome, lowres, bad anatomy, worst quality, low quality"'

To learn more, take a look at the Cog documentation.

Pull and run ikun-ai/inpainting-xl using Docker (this will download the full model and run it in your local environment):

docker run -d -p 5000:5000 --gpus=all r8.im/ikun-ai/inpainting-xl@sha256:8f812406b5175472d941d5a228d0a0a210b7ce450aa442bc348eab36b44b98a2
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "mask": "https://replicate.delivery/pbxt/JjLE4mcG0N7FupsWF85ISfA72fDBmB1W3AnPxJwE4RfAzzQL/1696756684893000mask.png",
      "image": "https://replicate.delivery/pbxt/JjLE4sNWRS9ep4mTUHWqX3PsbtCsUKbt3C83LAQLCUrkFiow/a%20cute%20rabbit.png",
      "steps": 20,
      "prompt": "a cute dog",
      "strength": 0.8,
      "scheduler": "K_EULER_ANCESTRAL",
      "guidance_scale": 8,
      "negative_prompt": "monochrome, lowres, bad anatomy, worst quality, low quality"
    }
  }' \
  http://localhost:5000/predictions

Output

Generated in

2.9 seconds

Tweak itReport

Run time and cost

This model costs approximately $0.0062 to run on Replicate, or 161 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 A100 (80GB) GPU hardware. Predictions typically complete within 5 seconds.