vetkastar/image-slicing – Run with an API on Replicate

vetkastar / image-slicing

Split one or multiple images into four equal parts

Cold

Public
54 runs
CPU

Run with an API

Playground API Examples README Versions

Input

Run this model in Node.js with one line of code:

npx create-replicate --model=vetkastar/image-slicing

or set up a project from scratch

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 vetkastar/image-slicing using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "vetkastar/image-slicing:800ef40b9592ba76f8e0ecae5c07e976b5cf415f092d35e47e3befc9c78732f5",
  {
    input: {
      image: "https://replicate.delivery/pbxt/Lm1OaJ4R1SgY91F5hYMuziHGsPGadPbMH4Q2i2omGQvAmNb6/000a2d38183e668676f04f0cefe3606b.png",
      return_zip: false,
      output_format: "png"
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

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 vetkastar/image-slicing using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "vetkastar/image-slicing:800ef40b9592ba76f8e0ecae5c07e976b5cf415f092d35e47e3befc9c78732f5",
    input={
        "image": "https://replicate.delivery/pbxt/Lm1OaJ4R1SgY91F5hYMuziHGsPGadPbMH4Q2i2omGQvAmNb6/000a2d38183e668676f04f0cefe3606b.png",
        "return_zip": False,
        "output_format": "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 vetkastar/image-slicing 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": "vetkastar/image-slicing:800ef40b9592ba76f8e0ecae5c07e976b5cf415f092d35e47e3befc9c78732f5",
    "input": {
      "image": "https://replicate.delivery/pbxt/Lm1OaJ4R1SgY91F5hYMuziHGsPGadPbMH4Q2i2omGQvAmNb6/000a2d38183e668676f04f0cefe3606b.png",
      "return_zip": false,
      "output_format": "png"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

3.6 seconds

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Examples

View more examples

Run time and cost

This model runs on CPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

This script allows you to split one or multiple images into four equal parts. It can process both individual images and archives containing multiple images.

Functionality Splits an image into 4 equal parts Processes single images and zip archives with multiple images Option to choose the output image format Option to return results as a zip archive