Prediction

wzesk/littoral_draw_refine:46b194b1

Model

wzesk/littoral_draw_refine:46b194b1

zwssqt99qnrg80cmkrkb5nemw0

Status

Succeeded

Source

Web

Hardware

CPU

Total duration

7.2s

Created

10 months ago

Input

img_path
input_shoreline: [[52,135], [95,103], [111,54], [109,35], [82,24], [70,19], [82,11], [101,17], [129,45], [159,107], [148,143], [111,153], [73,153], [60,145]]

{
  "img_path": "https://replicate.delivery/yhqm/mPQwGLxvhSqeKiFkHC6bNLiGpdwCg6sRLBa1AXoEMjPdEMEKA/upsampled_image.png",
  "input_shoreline": "[[52,135], [95,103], [111,54], [109,35], [82,24], [70,19], [82,11], [101,17], [129,45], [159,107], [148,143], [111,153], [73,153], [60,145]]"
}

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

const output = await replicate.run(
  "wzesk/littoral_draw_refine:46b194b18f33a7aa49cbf3116ad408cd40ef416d95345f060620ba37bc3c387f",
  {
    input: {
      img_path: "https://replicate.delivery/yhqm/mPQwGLxvhSqeKiFkHC6bNLiGpdwCg6sRLBa1AXoEMjPdEMEKA/upsampled_image.png",
      input_shoreline: "[[52,135], [95,103], [111,54], [109,35], [82,24], [70,19], [82,11], [101,17], [129,45], [159,107], [148,143], [111,153], [73,153], [60,145]]"
    }
  }
);

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

output = replicate.run(
    "wzesk/littoral_draw_refine:46b194b18f33a7aa49cbf3116ad408cd40ef416d95345f060620ba37bc3c387f",
    input={
        "img_path": "https://replicate.delivery/yhqm/mPQwGLxvhSqeKiFkHC6bNLiGpdwCg6sRLBa1AXoEMjPdEMEKA/upsampled_image.png",
        "input_shoreline": "[[52,135], [95,103], [111,54], [109,35], [82,24], [70,19], [82,11], [101,17], [129,45], [159,107], [148,143], [111,153], [73,153], [60,145]]"
    }
)

# 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 wzesk/littoral_draw_refine 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": "wzesk/littoral_draw_refine:46b194b18f33a7aa49cbf3116ad408cd40ef416d95345f060620ba37bc3c387f",
    "input": {
      "img_path": "https://replicate.delivery/yhqm/mPQwGLxvhSqeKiFkHC6bNLiGpdwCg6sRLBa1AXoEMjPdEMEKA/upsampled_image.png",
      "input_shoreline": "[[52,135], [95,103], [111,54], [109,35], [82,24], [70,19], [82,11], [101,17], [129,45], [159,107], [148,143], [111,153], [73,153], [60,145]]"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

refined_shoreline.csv

Generated in

0.2 seconds

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