naklecha/clothing-segmentation – Run with an API on Replicate

naklecha / clothing-segmentation

This model can detect clothing using a custom state of the art clothing segmentation algorithm.

Cold

Public
3.6K runs
A100 (80GB)

Iterate in playground

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=naklecha/clothing-segmentation

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 naklecha/clothing-segmentation using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "naklecha/clothing-segmentation:501aa8488496fffc6bbee9544729dc28654649f2e3c80de0bf08fb9fe71898f8",
  {
    input: {
      image: "https://replicate.delivery/pbxt/IuOHxg1Wx6ALYqC9ywUc2ReYolQXlNRfHPM4LTTnID2ULHuR/kanye-west-hollywood-bowl%20%281%29.webp",
      clothing: "topwear"
    }
  }
);

// 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 naklecha/clothing-segmentation using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "naklecha/clothing-segmentation:501aa8488496fffc6bbee9544729dc28654649f2e3c80de0bf08fb9fe71898f8",
    input={
        "image": "https://replicate.delivery/pbxt/IuOHxg1Wx6ALYqC9ywUc2ReYolQXlNRfHPM4LTTnID2ULHuR/kanye-west-hollywood-bowl%20%281%29.webp",
        "clothing": "topwear"
    }
)
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 naklecha/clothing-segmentation 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": "naklecha/clothing-segmentation:501aa8488496fffc6bbee9544729dc28654649f2e3c80de0bf08fb9fe71898f8",
    "input": {
      "image": "https://replicate.delivery/pbxt/IuOHxg1Wx6ALYqC9ywUc2ReYolQXlNRfHPM4LTTnID2ULHuR/kanye-west-hollywood-bowl%20%281%29.webp",
      "clothing": "topwear"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

16.3 seconds

Tweak it Report

Examples

View more examples

Run time and cost

This model costs approximately $0.033 to run on Replicate, or 30 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia A100 (80GB) GPU hardware. Predictions typically complete within 24 seconds. The predict time for this model varies significantly based on the inputs.

Readme

This model doesn't have a readme.