Input

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

npx create-replicate --model=hadilq/hair-segment

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 hadilq/hair-segment using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "hadilq/hair-segment:b335dc1b693b2de88040736eb426702adfc2f0c869ae9dba3569bac1beb9c0f6",
  {
    input: {
      image: "https://replicate.delivery/pbxt/Kx8QdlrmR21GB2oBIkHRmbPOoMJsL3PN081IVQ54WnnXan7N/00322-3887184730_png.rf.9e8de7a3d900dbbdc8a757d37986ab90.jpg"
    }
  }
);

// 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=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run hadilq/hair-segment using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "hadilq/hair-segment:b335dc1b693b2de88040736eb426702adfc2f0c869ae9dba3569bac1beb9c0f6",
    input={
        "image": "https://replicate.delivery/pbxt/Kx8QdlrmR21GB2oBIkHRmbPOoMJsL3PN081IVQ54WnnXan7N/00322-3887184730_png.rf.9e8de7a3d900dbbdc8a757d37986ab90.jpg"
    }
)
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 hadilq/hair-segment 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": "hadilq/hair-segment:b335dc1b693b2de88040736eb426702adfc2f0c869ae9dba3569bac1beb9c0f6",
    "input": {
      "image": "https://replicate.delivery/pbxt/Kx8QdlrmR21GB2oBIkHRmbPOoMJsL3PN081IVQ54WnnXan7N/00322-3887184730_png.rf.9e8de7a3d900dbbdc8a757d37986ab90.jpg"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

13.6 seconds

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Examples

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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

Hair Segmentation

You can find more details in its Github repo.