georgedavila/face-parsing | Run with an API on Replicate

Input

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

npx create-replicate --model=georgedavila/face-parsing

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";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run georgedavila/face-parsing using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "georgedavila/face-parsing:bef96712d74701af8bf8e3747cbed415d41148930cec53b01a57d35cbf088a28",
  {
    input: {
      imageURL: "https://images.unsplash.com/photo-1539571696357-5a69c17a67c6",
      model_type: "imageURL",
      imageUpload: "https://upload.wikimedia.org/wikipedia/commons/8/8d/President_Barack_Obama.jpg"
    }
  }
);

// 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 georgedavila/face-parsing using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "georgedavila/face-parsing:bef96712d74701af8bf8e3747cbed415d41148930cec53b01a57d35cbf088a28",
    input={
        "imageURL": "https://images.unsplash.com/photo-1539571696357-5a69c17a67c6",
        "model_type": "imageURL",
        "imageUpload": "https://upload.wikimedia.org/wikipedia/commons/8/8d/President_Barack_Obama.jpg"
    }
)

# To access the file URL:
print(output[0].url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output[0].read())

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 georgedavila/face-parsing 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": "georgedavila/face-parsing:bef96712d74701af8bf8e3747cbed415d41148930cec53b01a57d35cbf088a28",
    "input": {
      "imageURL": "https://images.unsplash.com/photo-1539571696357-5a69c17a67c6",
      "model_type": "imageURL",
      "imageUpload": "https://upload.wikimedia.org/wikipedia/commons/8/8d/President_Barack_Obama.jpg"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

No output yet! Press "Submit" to start a prediction.

Run time and cost

This model runs on Nvidia T4 GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

This model doesn't have a readme.