Prediction

Model

lucataco/vectorized-dot-grid:a5b8700f

nwb1c8xtw9rm80cq1zest2153m

Status

Succeeded

Source

Web

Hardware

CPU

Total duration

7.9s

Created

7 months ago by lucataco

Webhook

–

Input

image: https://replicate.delivery/pbxt/N4zRsaMPgp3JBBcSArOOPKrEkWUVEFvCY3rvJanziMTPYpgs/GraZnzHbAAMX8Nm.jpeg
grid_size: 24
dot_scale: 1
output_width: 1024
brightness_threshold: 0

{
  "brightness_threshold": 0,
  "dot_scale": 1,
  "grid_size": 24,
  "image": "https://replicate.delivery/pbxt/N4zRsaMPgp3JBBcSArOOPKrEkWUVEFvCY3rvJanziMTPYpgs/GraZnzHbAAMX8Nm.jpeg",
  "output_width": 1024
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_6FI**********************************

This is your API token. Keep it to yourself.

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 lucataco/vectorized-dot-grid using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/vectorized-dot-grid:a5b8700fc30c78475b838305ed9e8f1a582d96f31da6d4233443bb89a9bb1208",
  {
    input: {
      brightness_threshold: 0,
      dot_scale: 1,
      grid_size: 24,
      image: "https://replicate.delivery/pbxt/N4zRsaMPgp3JBBcSArOOPKrEkWUVEFvCY3rvJanziMTPYpgs/GraZnzHbAAMX8Nm.jpeg",
      output_width: 1024
    }
  }
);

// 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

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_6FI**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run lucataco/vectorized-dot-grid using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/vectorized-dot-grid:a5b8700fc30c78475b838305ed9e8f1a582d96f31da6d4233443bb89a9bb1208",
    input={
        "brightness_threshold": 0,
        "dot_scale": 1,
        "grid_size": 24,
        "image": "https://replicate.delivery/pbxt/N4zRsaMPgp3JBBcSArOOPKrEkWUVEFvCY3rvJanziMTPYpgs/GraZnzHbAAMX8Nm.jpeg",
        "output_width": 1024
    }
)

# 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.

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_6FI**********************************

This is your API token. Keep it to yourself.

Run lucataco/vectorized-dot-grid 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": "lucataco/vectorized-dot-grid:a5b8700fc30c78475b838305ed9e8f1a582d96f31da6d4233443bb89a9bb1208",
    "input": {
      "brightness_threshold": 0,
      "dot_scale": 1,
      "grid_size": 24,
      "image": "https://replicate.delivery/pbxt/N4zRsaMPgp3JBBcSArOOPKrEkWUVEFvCY3rvJanziMTPYpgs/GraZnzHbAAMX8Nm.jpeg",
      "output_width": 1024
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

0.2 seconds

Tweak it Report