naklecha / clothing-segmentation

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

Cold

Public
3.3K runs
A100 (80GB)

Run with an API

Playground API Examples README Versions

Prediction

naklecha/clothing-segmentation:501aa848

Model

naklecha/clothing-segmentation:501aa848

wmm6k6ytxzbo5fmmipz4etj4gy

Status

Succeeded

Source

Web

Hardware

Total duration

16.2s

Created

almost 2 years ago by @naklecha

Input

image
clothing: topwear

{
  "image": "https://replicate.delivery/pbxt/IuOHxg1Wx6ALYqC9ywUc2ReYolQXlNRfHPM4LTTnID2ULHuR/kanye-west-hollywood-bowl%20%281%29.webp",
  "clothing": "topwear"
}

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"
    }
  }
);
console.log(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=<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": "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

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