Prediction

omniedgeio/facerestoration:21e18f1fce99c1b9b043f6b6666cabde33a77fad2e20c896bb73358e63ce57d4

Model

omniedgeio/facerestoration:21e18f1f

z3tdtplbxfxusaj7uo3qwwkdyi

Status

Succeeded

Source

Web

Hardware

A100 (80GB)

Total duration

7.1s

Created

over 1 year ago

Input

image
scale: 4
face_enhance

{
  "image": "https://replicate.delivery/pbxt/JqPig3C3svw9fnhcNSj2R39N5OEn19flbYJtcNjlWDdPz8TG/IMG_376802DCDD96-1.jpeg",
  "scale": 4,
  "face_enhance": true
}

Install Replicate’s Node.js client library:

npm install replicate

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

const output = await replicate.run(
  "omniedgeio/facerestoration:21e18f1fce99c1b9b043f6b6666cabde33a77fad2e20c896bb73358e63ce57d4",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JqPig3C3svw9fnhcNSj2R39N5OEn19flbYJtcNjlWDdPz8TG/IMG_376802DCDD96-1.jpeg",
      scale: 4,
      face_enhance: true
    }
  }
);

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

output = replicate.run(
    "omniedgeio/facerestoration:21e18f1fce99c1b9b043f6b6666cabde33a77fad2e20c896bb73358e63ce57d4",
    input={
        "image": "https://replicate.delivery/pbxt/JqPig3C3svw9fnhcNSj2R39N5OEn19flbYJtcNjlWDdPz8TG/IMG_376802DCDD96-1.jpeg",
        "scale": 4,
        "face_enhance": True
    }
)

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

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

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

Run omniedgeio/facerestoration 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": "omniedgeio/facerestoration:21e18f1fce99c1b9b043f6b6666cabde33a77fad2e20c896bb73358e63ce57d4",
    "input": {
      "image": "https://replicate.delivery/pbxt/JqPig3C3svw9fnhcNSj2R39N5OEn19flbYJtcNjlWDdPz8TG/IMG_376802DCDD96-1.jpeg",
      "scale": 4,
      "face_enhance": true
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

7.2 seconds

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