lucataco/gfpgan:66a607f2 – Run with an API on Replicate

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lucataco /gfpgan:66a607f2

Playground API

Input

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

npx create-replicate --model=lucataco/gfpgan

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

const output = await replicate.run(
  "lucataco/gfpgan:66a607f2c8ee93966fb2759b0bb93f48a707f46d2f75df5d66db73d3b5d8337d",
  {
    input: {
      img: "https://replicate.delivery/pbxt/JHZ3EWjk4So7uLYChYiTWvmo9xm34aee6E5dg5ELXOgdo8Gq/AAA9hAAAPYQGoP6dpAAAKT2lD.png",
      scale: 2,
      version: "v1.3"
    }
  }
);
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 lucataco/gfpgan using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/gfpgan:66a607f2c8ee93966fb2759b0bb93f48a707f46d2f75df5d66db73d3b5d8337d",
    input={
        "img": "https://replicate.delivery/pbxt/JHZ3EWjk4So7uLYChYiTWvmo9xm34aee6E5dg5ELXOgdo8Gq/AAA9hAAAPYQGoP6dpAAAKT2lD.png",
        "scale": 2,
        "version": "v1.3"
    }
)
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 lucataco/gfpgan 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": "66a607f2c8ee93966fb2759b0bb93f48a707f46d2f75df5d66db73d3b5d8337d",
    "input": {
      "img": "https://replicate.delivery/pbxt/JHZ3EWjk4So7uLYChYiTWvmo9xm34aee6E5dg5ELXOgdo8Gq/AAA9hAAAPYQGoP6dpAAAKT2lD.png",
      "scale": 2,
      "version": "v1.3"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

3.3 seconds

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