zylim0702 / remove-object

The LaMa (Large Mask Inpainting) model is an advanced image inpainting system designed to address the challenges of handling large missing areas, complex geometric structures, and high-resolution images.

Warm

Public
1.1M runs
T4
Paper

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Run with an API

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Prediction

zylim0702/remove-object:0e3a841c913f597c1e4c321560aa69e2bc1f15c65f8c366caafc379240efd8ba

Model

zylim0702/remove-object:0e3a841c

h2wnirbbo4qb4yd425vsntt3sq

Status

Succeeded

Source

Web

Hardware

A100 (40GB)

Total duration

2m 12s

Created

almost 2 years ago

Input

mask
image

{
  "mask": "https://replicate.delivery/pbxt/JEd3XamngYYznrLZH70ecBlkKm5ga11IMtKEuKkT6uZ3JkyV/mask_1.png",
  "image": "https://replicate.delivery/pbxt/JEd3XXLFAJBo7XiG4aK6BViXwnXRsIO9B32jEoooLJtSzLlp/dog.png"
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

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

Run zylim0702/remove-object using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "zylim0702/remove-object:0e3a841c913f597c1e4c321560aa69e2bc1f15c65f8c366caafc379240efd8ba",
  {
    input: {
      mask: "https://replicate.delivery/pbxt/JEd3XamngYYznrLZH70ecBlkKm5ga11IMtKEuKkT6uZ3JkyV/mask_1.png",
      image: "https://replicate.delivery/pbxt/JEd3XXLFAJBo7XiG4aK6BViXwnXRsIO9B32jEoooLJtSzLlp/dog.png"
    }
  }
);

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

// To write the file to disk:
fs.writeFile("my-image.png", 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

Import the client:

import replicate

Run zylim0702/remove-object using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "zylim0702/remove-object:0e3a841c913f597c1e4c321560aa69e2bc1f15c65f8c366caafc379240efd8ba",
    input={
        "mask": "https://replicate.delivery/pbxt/JEd3XamngYYznrLZH70ecBlkKm5ga11IMtKEuKkT6uZ3JkyV/mask_1.png",
        "image": "https://replicate.delivery/pbxt/JEd3XXLFAJBo7XiG4aK6BViXwnXRsIO9B32jEoooLJtSzLlp/dog.png"
    }
)
print(output)

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

Run zylim0702/remove-object 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": "zylim0702/remove-object:0e3a841c913f597c1e4c321560aa69e2bc1f15c65f8c366caafc379240efd8ba",
    "input": {
      "mask": "https://replicate.delivery/pbxt/JEd3XamngYYznrLZH70ecBlkKm5ga11IMtKEuKkT6uZ3JkyV/mask_1.png",
      "image": "https://replicate.delivery/pbxt/JEd3XXLFAJBo7XiG4aK6BViXwnXRsIO9B32jEoooLJtSzLlp/dog.png"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

8.0 seconds

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