allenhooo / lama

{
  "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

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 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"
    }
  }
);

// 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 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"
    }
)

# To access the file URL:
print(output.url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output.read())

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

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": "allenhooo/lama: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

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4.3 seconds

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