lucataco / real-esrgan

Real-ESRGAN with optional face correction and adjustable upscale (for larger images)

Cold

Public
34.6K runs
A100 (80GB)
GitHub
Paper
License

Iterate in the playground

Run with an API

Playground API Examples README Versions

Prediction

lucataco/real-esrgan:3febd19381dd7e1f52a3ed3260b5b0a5636353de45e37e7c1c3cd814b24077a3

Model

lucataco/real-esrgan:3febd193

vg4qpfrbpupwqngqjxxomh4phq

Status

Succeeded

Source

Web

Hardware

A100 (40GB)

Total duration

1.5s

Created

almost 2 years ago by @lucataco

Input

image
scale: 2
face_enhance

{
  "image": "https://replicate.delivery/pbxt/JBn4y1EkUjdlMlqNT14CJ8O9YYlogntF70PAjMYSmuK5wEmu/output.png",
  "scale": 2,
  "face_enhance": false
}

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

const output = await replicate.run(
  "lucataco/real-esrgan:3febd19381dd7e1f52a3ed3260b5b0a5636353de45e37e7c1c3cd814b24077a3",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JBn4y1EkUjdlMlqNT14CJ8O9YYlogntF70PAjMYSmuK5wEmu/output.png",
      scale: 2,
      face_enhance: false
    }
  }
);

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

output = replicate.run(
    "lucataco/real-esrgan:3febd19381dd7e1f52a3ed3260b5b0a5636353de45e37e7c1c3cd814b24077a3",
    input={
        "image": "https://replicate.delivery/pbxt/JBn4y1EkUjdlMlqNT14CJ8O9YYlogntF70PAjMYSmuK5wEmu/output.png",
        "scale": 2,
        "face_enhance": False
    }
)
print(output)

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

Run lucataco/real-esrgan 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": "lucataco/real-esrgan:3febd19381dd7e1f52a3ed3260b5b0a5636353de45e37e7c1c3cd814b24077a3",
    "input": {
      "image": "https://replicate.delivery/pbxt/JBn4y1EkUjdlMlqNT14CJ8O9YYlogntF70PAjMYSmuK5wEmu/output.png",
      "scale": 2,
      "face_enhance": false
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

1.5 seconds

Tweak it ShareReport

Prediction

lucataco/real-esrgan:3febd19381dd7e1f52a3ed3260b5b0a5636353de45e37e7c1c3cd814b24077a3

Model

lucataco/real-esrgan:3febd193

badwf4zbtdryaefg4plodaipqm

Status

Succeeded

Source

Web

Hardware

A100 (40GB)

Total duration

1.2s

Created

almost 2 years ago

Input

image
scale: 2
face_enhance

{
  "image": "https://replicate.delivery/pbxt/JBn5864Kj28yDM5OIlh2Cqn52l2AalAVjs5DirdV0EZ4WQBX/cat.jpg",
  "scale": 2,
  "face_enhance": false
}

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

const output = await replicate.run(
  "lucataco/real-esrgan:3febd19381dd7e1f52a3ed3260b5b0a5636353de45e37e7c1c3cd814b24077a3",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JBn5864Kj28yDM5OIlh2Cqn52l2AalAVjs5DirdV0EZ4WQBX/cat.jpg",
      scale: 2,
      face_enhance: false
    }
  }
);

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

output = replicate.run(
    "lucataco/real-esrgan:3febd19381dd7e1f52a3ed3260b5b0a5636353de45e37e7c1c3cd814b24077a3",
    input={
        "image": "https://replicate.delivery/pbxt/JBn5864Kj28yDM5OIlh2Cqn52l2AalAVjs5DirdV0EZ4WQBX/cat.jpg",
        "scale": 2,
        "face_enhance": False
    }
)
print(output)

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

Run lucataco/real-esrgan 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": "lucataco/real-esrgan:3febd19381dd7e1f52a3ed3260b5b0a5636353de45e37e7c1c3cd814b24077a3",
    "input": {
      "image": "https://replicate.delivery/pbxt/JBn5864Kj28yDM5OIlh2Cqn52l2AalAVjs5DirdV0EZ4WQBX/cat.jpg",
      "scale": 2,
      "face_enhance": false
    }
  }' \
  https://api.replicate.com/v1/predictions

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