allenhooo / lama

🦙 LaMa: Resolution-robust Large Mask Inpainting with Fourier Convolutions

Warm

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6.9M runs
T4
GitHub
Paper
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Run with an API

Playground API Examples README Versions

Prediction

allenhooo/lama:cdac78a1

Model

allenhooo/lama:cdac78a1

hqmfygrbcigpuh6m3ss5cyumyq

Status

Succeeded

Source

Web

Hardware

Total duration

5.4s

Created

almost 2 years ago

Input

mask
image

{
  "mask": "https://replicate.delivery/pbxt/J0KSd9VgmINh2KaoSHX9YXl7A48CQ1YdWkOIFv0eexF1qamj/test_mask001.png",
  "image": "https://replicate.delivery/pbxt/J0KSdZvnjKBjuhm0tVU3KkeTi4CC08pJJjeXSLE61GFqCx9F/test.png"
}

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 allenhooo/lama using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "allenhooo/lama:cdac78a1bec5b23c07fd29692fb70baa513ea403a39e643c48ec5edadb15fe72",
  {
    input: {
      mask: "https://replicate.delivery/pbxt/J0KSd9VgmINh2KaoSHX9YXl7A48CQ1YdWkOIFv0eexF1qamj/test_mask001.png",
      image: "https://replicate.delivery/pbxt/J0KSdZvnjKBjuhm0tVU3KkeTi4CC08pJJjeXSLE61GFqCx9F/test.png"
    }
  }
);
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 allenhooo/lama using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "allenhooo/lama:cdac78a1bec5b23c07fd29692fb70baa513ea403a39e643c48ec5edadb15fe72",
    input={
        "mask": "https://replicate.delivery/pbxt/J0KSd9VgmINh2KaoSHX9YXl7A48CQ1YdWkOIFv0eexF1qamj/test_mask001.png",
        "image": "https://replicate.delivery/pbxt/J0KSdZvnjKBjuhm0tVU3KkeTi4CC08pJJjeXSLE61GFqCx9F/test.png"
    }
)
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 allenhooo/lama 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": "cdac78a1bec5b23c07fd29692fb70baa513ea403a39e643c48ec5edadb15fe72",
    "input": {
      "mask": "https://replicate.delivery/pbxt/J0KSd9VgmINh2KaoSHX9YXl7A48CQ1YdWkOIFv0eexF1qamj/test_mask001.png",
      "image": "https://replicate.delivery/pbxt/J0KSdZvnjKBjuhm0tVU3KkeTi4CC08pJJjeXSLE61GFqCx9F/test.png"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

4.3 seconds

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