Prediction

hadilq/hair-segment:b335dc1b693b2de88040736eb426702adfc2f0c869ae9dba3569bac1beb9c0f6

Model

hadilq/hair-segment:b335dc1b

ID

a2s2khdg6drg80cfjvktcp8x24

Status

Succeeded

Source

Web

Hardware

CPU

Total duration

2m 18s

Created

12 months ago

Input

image

{
  "image": "https://replicate.delivery/pbxt/Kx8cDMB9AF9D2Xs7wQVTCOjmnYLtmpPoHIhAIwry4146XEKX/pexels-luis-fernando-7211043_jpg.rf.34504c5f2de20e18c2c92e418764832b.jpg"
}

Install Replicate’s Node.js client library:

npm install replicate

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/Kx8cDMB9AF9D2Xs7wQVTCOjmnYLtmpPoHIhAIwry4146XEKX/pexels-luis-fernando-7211043_jpg.rf.34504c5f2de20e18c2c92e418764832b.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

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/Kx8cDMB9AF9D2Xs7wQVTCOjmnYLtmpPoHIhAIwry4146XEKX/pexels-luis-fernando-7211043_jpg.rf.34504c5f2de20e18c2c92e418764832b.jpg"
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

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": "b335dc1b693b2de88040736eb426702adfc2f0c869ae9dba3569bac1beb9c0f6",
    "input": {
      "image": "https://replicate.delivery/pbxt/Kx8cDMB9AF9D2Xs7wQVTCOjmnYLtmpPoHIhAIwry4146XEKX/pexels-luis-fernando-7211043_jpg.rf.34504c5f2de20e18c2c92e418764832b.jpg"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

27.0 seconds

Tweak it ShareReport

Prediction

hadilq/hair-segment:b335dc1b693b2de88040736eb426702adfc2f0c869ae9dba3569bac1beb9c0f6

Model

hadilq/hair-segment:b335dc1b

ID

pmrqqpbxx5rgc0cfjve9ds0240

Status

Succeeded

Source

Web

Hardware

CPU

Total duration

2m 12s

Created

12 months ago

Input

image

{
  "image": "https://replicate.delivery/pbxt/Kx8QdlrmR21GB2oBIkHRmbPOoMJsL3PN081IVQ54WnnXan7N/00322-3887184730_png.rf.9e8de7a3d900dbbdc8a757d37986ab90.jpg"
}

Install Replicate’s Node.js client library:

npm install replicate

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

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.

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": "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

Tweak it ShareReport

Prediction

hadilq/hair-segment:b335dc1b693b2de88040736eb426702adfc2f0c869ae9dba3569bac1beb9c0f6

Model

hadilq/hair-segment:b335dc1b

ID

8jd0byn1jdrg80cfjvgvd857cm

Status

Succeeded

Source

Web

Hardware

CPU

Total duration

2m 29s

Created

12 months ago

Input

image

{
  "image": "https://replicate.delivery/pbxt/Kx8VwrHsdOhWnha6IU3q9Q5dPNY9oOC7bufReRUbAD8mZ5Bb/kids-4305233_jpg.rf.3414689ebc4628441fb7c0db5a9bc6f4.jpg"
}

Install Replicate’s Node.js client library:

npm install replicate

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/Kx8VwrHsdOhWnha6IU3q9Q5dPNY9oOC7bufReRUbAD8mZ5Bb/kids-4305233_jpg.rf.3414689ebc4628441fb7c0db5a9bc6f4.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

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/Kx8VwrHsdOhWnha6IU3q9Q5dPNY9oOC7bufReRUbAD8mZ5Bb/kids-4305233_jpg.rf.3414689ebc4628441fb7c0db5a9bc6f4.jpg"
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

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": "b335dc1b693b2de88040736eb426702adfc2f0c869ae9dba3569bac1beb9c0f6",
    "input": {
      "image": "https://replicate.delivery/pbxt/Kx8VwrHsdOhWnha6IU3q9Q5dPNY9oOC7bufReRUbAD8mZ5Bb/kids-4305233_jpg.rf.3414689ebc4628441fb7c0db5a9bc6f4.jpg"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

19.8 seconds

Tweak it ShareReport

hadilq / hair-segment

Prediction

Input

Output

Prediction

Input

Output

Prediction

Input

Output

Logs (a2s2khdg6drg80cfjvktcp8x24)

Logs (pmrqqpbxx5rgc0cfjve9ds0240)

Logs (8jd0byn1jdrg80cfjvgvd857cm)