Prediction

menghanxia/reversiblehalftoning:aa0216c7

Model

menghanxia/reversiblehalftoning:aa0216c7

ID

v7vgq53fhralvejev2vt5vfk6a

Status

Succeeded

Source

Web

Hardware

–

Total duration

–

Created

over 3 years ago

Input

image
halftone_only

{
  "image": "https://replicate.delivery/mgxm/fae1abee-82e3-4e82-885b-20a803d2097e/06.png",
  "halftone_only": false
}

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 menghanxia/reversiblehalftoning using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "menghanxia/reversiblehalftoning:aa0216c7968dd050f73f3f3d5eee023c07bc5d265cb06b44c6dd94fb31ce973b",
  {
    input: {
      image: "https://replicate.delivery/mgxm/fae1abee-82e3-4e82-885b-20a803d2097e/06.png",
      halftone_only: false
    }
  }
);
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 menghanxia/reversiblehalftoning using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "menghanxia/reversiblehalftoning:aa0216c7968dd050f73f3f3d5eee023c07bc5d265cb06b44c6dd94fb31ce973b",
    input={
        "image": "https://replicate.delivery/mgxm/fae1abee-82e3-4e82-885b-20a803d2097e/06.png",
        "halftone_only": False
    }
)

# The menghanxia/reversiblehalftoning model can stream output as it's running.
# The predict method returns an iterator, and you can iterate over that output.
for item in output:
    # https://replicate.com/menghanxia/reversiblehalftoning/api#output-schema
    print(item)

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 menghanxia/reversiblehalftoning 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": "aa0216c7968dd050f73f3f3d5eee023c07bc5d265cb06b44c6dd94fb31ce973b",
    "input": {
      "image": "https://replicate.delivery/mgxm/fae1abee-82e3-4e82-885b-20a803d2097e/06.png",
      "halftone_only": false
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Tweak it ShareReport

Prediction

menghanxia/reversiblehalftoning:aa0216c7

Model

menghanxia/reversiblehalftoning:aa0216c7

ID

vkharp5ahbey3kjqas2x3fstaa

Status

Succeeded

Source

Web

Hardware

–

Total duration

–

Created

over 3 years ago

Input

image
halftone_only

{
  "image": "https://replicate.delivery/mgxm/1d52f8fd-0ff8-41d3-8d01-030a0f1ac4e7/wave.jpg",
  "halftone_only": false
}

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 menghanxia/reversiblehalftoning using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "menghanxia/reversiblehalftoning:aa0216c7968dd050f73f3f3d5eee023c07bc5d265cb06b44c6dd94fb31ce973b",
  {
    input: {
      image: "https://replicate.delivery/mgxm/1d52f8fd-0ff8-41d3-8d01-030a0f1ac4e7/wave.jpg",
      halftone_only: false
    }
  }
);
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 menghanxia/reversiblehalftoning using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "menghanxia/reversiblehalftoning:aa0216c7968dd050f73f3f3d5eee023c07bc5d265cb06b44c6dd94fb31ce973b",
    input={
        "image": "https://replicate.delivery/mgxm/1d52f8fd-0ff8-41d3-8d01-030a0f1ac4e7/wave.jpg",
        "halftone_only": False
    }
)

# The menghanxia/reversiblehalftoning model can stream output as it's running.
# The predict method returns an iterator, and you can iterate over that output.
for item in output:
    # https://replicate.com/menghanxia/reversiblehalftoning/api#output-schema
    print(item)

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 menghanxia/reversiblehalftoning 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": "aa0216c7968dd050f73f3f3d5eee023c07bc5d265cb06b44c6dd94fb31ce973b",
    "input": {
      "image": "https://replicate.delivery/mgxm/1d52f8fd-0ff8-41d3-8d01-030a0f1ac4e7/wave.jpg",
      "halftone_only": false
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Tweak it ShareReport

Prediction

menghanxia/reversiblehalftoning:aa0216c7

Model

menghanxia/reversiblehalftoning:aa0216c7

ID

dc7xnalhfbh5thsez7nplnl66e

Status

Succeeded

Source

Web

Hardware

–

Total duration

–

Created

over 3 years ago

Input

image
halftone_only

{
  "image": "https://replicate.delivery/mgxm/44c4e7f9-6917-477c-bf93-ee272b0fad30/05.png",
  "halftone_only": false
}

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 menghanxia/reversiblehalftoning using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "menghanxia/reversiblehalftoning:aa0216c7968dd050f73f3f3d5eee023c07bc5d265cb06b44c6dd94fb31ce973b",
  {
    input: {
      image: "https://replicate.delivery/mgxm/44c4e7f9-6917-477c-bf93-ee272b0fad30/05.png",
      halftone_only: false
    }
  }
);
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 menghanxia/reversiblehalftoning using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "menghanxia/reversiblehalftoning:aa0216c7968dd050f73f3f3d5eee023c07bc5d265cb06b44c6dd94fb31ce973b",
    input={
        "image": "https://replicate.delivery/mgxm/44c4e7f9-6917-477c-bf93-ee272b0fad30/05.png",
        "halftone_only": False
    }
)

# The menghanxia/reversiblehalftoning model can stream output as it's running.
# The predict method returns an iterator, and you can iterate over that output.
for item in output:
    # https://replicate.com/menghanxia/reversiblehalftoning/api#output-schema
    print(item)

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 menghanxia/reversiblehalftoning 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": "aa0216c7968dd050f73f3f3d5eee023c07bc5d265cb06b44c6dd94fb31ce973b",
    "input": {
      "image": "https://replicate.delivery/mgxm/44c4e7f9-6917-477c-bf93-ee272b0fad30/05.png",
      "halftone_only": false
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Tweak it ShareReport

Prediction

menghanxia/reversiblehalftoning:aa0216c7

Model

menghanxia/reversiblehalftoning:aa0216c7

ID

wrmbhiczsfhabplzi7wjpvucia

Status

Succeeded

Source

Web

Hardware

–

Total duration

–

Created

over 3 years ago

Input

image
halftone_only

{
  "image": "https://replicate.delivery/mgxm/bc43d2c0-8295-4287-aa62-d3fde0e85826/08.png",
  "halftone_only": false
}

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 menghanxia/reversiblehalftoning using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "menghanxia/reversiblehalftoning:aa0216c7968dd050f73f3f3d5eee023c07bc5d265cb06b44c6dd94fb31ce973b",
  {
    input: {
      image: "https://replicate.delivery/mgxm/bc43d2c0-8295-4287-aa62-d3fde0e85826/08.png",
      halftone_only: false
    }
  }
);
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 menghanxia/reversiblehalftoning using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "menghanxia/reversiblehalftoning:aa0216c7968dd050f73f3f3d5eee023c07bc5d265cb06b44c6dd94fb31ce973b",
    input={
        "image": "https://replicate.delivery/mgxm/bc43d2c0-8295-4287-aa62-d3fde0e85826/08.png",
        "halftone_only": False
    }
)

# The menghanxia/reversiblehalftoning model can stream output as it's running.
# The predict method returns an iterator, and you can iterate over that output.
for item in output:
    # https://replicate.com/menghanxia/reversiblehalftoning/api#output-schema
    print(item)

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 menghanxia/reversiblehalftoning 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": "aa0216c7968dd050f73f3f3d5eee023c07bc5d265cb06b44c6dd94fb31ce973b",
    "input": {
      "image": "https://replicate.delivery/mgxm/bc43d2c0-8295-4287-aa62-d3fde0e85826/08.png",
      "halftone_only": false
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Tweak it ShareReport

menghanxia / reversiblehalftoning

Prediction

Input

Output

Prediction

Input

Output

Prediction

Input

Output

Prediction

Input

Output

Logs (v7vgq53fhralvejev2vt5vfk6a)

Logs (vkharp5ahbey3kjqas2x3fstaa)

Logs (dc7xnalhfbh5thsez7nplnl66e)

Logs (wrmbhiczsfhabplzi7wjpvucia)