Prediction

alexgenovese/upscaler:4f7eb3da655b5182e559d50a0437440f242992d47e5e20bd82829a79dee61ff3

Model

alexgenovese/upscaler:4f7eb3da

ID

52wqqjdb34zguzll4gomryqxzq

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

5.4s

Created

over 1 year ago

Input

image
scale: 2
face_enhance

{
  "image": "https://replicate.delivery/pbxt/KDG7Jt1oR2ZjG73x31HaauNgo48BAUdooNX1Zti0l4H2CxJY/image-2.png",
  "scale": 2,
  "face_enhance": true
}

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

const output = await replicate.run(
  "alexgenovese/upscaler:4f7eb3da655b5182e559d50a0437440f242992d47e5e20bd82829a79dee61ff3",
  {
    input: {
      image: "https://replicate.delivery/pbxt/KDG7Jt1oR2ZjG73x31HaauNgo48BAUdooNX1Zti0l4H2CxJY/image-2.png",
      scale: 2,
      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 alexgenovese/upscaler using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "alexgenovese/upscaler:4f7eb3da655b5182e559d50a0437440f242992d47e5e20bd82829a79dee61ff3",
    input={
        "image": "https://replicate.delivery/pbxt/KDG7Jt1oR2ZjG73x31HaauNgo48BAUdooNX1Zti0l4H2CxJY/image-2.png",
        "scale": 2,
        "face_enhance": True
    }
)
print(output)

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

Run alexgenovese/upscaler 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": "alexgenovese/upscaler:4f7eb3da655b5182e559d50a0437440f242992d47e5e20bd82829a79dee61ff3",
    "input": {
      "image": "https://replicate.delivery/pbxt/KDG7Jt1oR2ZjG73x31HaauNgo48BAUdooNX1Zti0l4H2CxJY/image-2.png",
      "scale": 2,
      "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

5.4 seconds

Tweak it ShareReport

Prediction

alexgenovese/upscaler:ba0132791dea9f3a80b18a9c04e96bdddbc6265e55cb79c61857365f9d172fd8

Model

alexgenovese/upscaler:ba013279

ID

gok7fcdbqwm5lnbun3tnt3p2hm

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

75.3s

Created

over 1 year ago

Input

scale: 2
version: v1.4
image_url

{
  "scale": 2,
  "version": "v1.4",
  "image_url": "https://replicate.delivery/pbxt/JQzDGjeVoidhwN0GqodtojIsPBDgL1KP3duXhTIShyFZByal/1.webp"
}

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

const output = await replicate.run(
  "alexgenovese/upscaler:ba0132791dea9f3a80b18a9c04e96bdddbc6265e55cb79c61857365f9d172fd8",
  {
    input: {
      scale: 2,
      version: "v1.4",
      image_url: "https://replicate.delivery/pbxt/JQzDGjeVoidhwN0GqodtojIsPBDgL1KP3duXhTIShyFZByal/1.webp"
    }
  }
);

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

output = replicate.run(
    "alexgenovese/upscaler:ba0132791dea9f3a80b18a9c04e96bdddbc6265e55cb79c61857365f9d172fd8",
    input={
        "scale": 2,
        "version": "v1.4",
        "image_url": "https://replicate.delivery/pbxt/JQzDGjeVoidhwN0GqodtojIsPBDgL1KP3duXhTIShyFZByal/1.webp"
    }
)
print(output)

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

Run alexgenovese/upscaler 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": "alexgenovese/upscaler:ba0132791dea9f3a80b18a9c04e96bdddbc6265e55cb79c61857365f9d172fd8",
    "input": {
      "scale": 2,
      "version": "v1.4",
      "image_url": "https://replicate.delivery/pbxt/JQzDGjeVoidhwN0GqodtojIsPBDgL1KP3duXhTIShyFZByal/1.webp"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

2.3 seconds

Tweak it ShareReport

Prediction

alexgenovese/upscaler:ba0132791dea9f3a80b18a9c04e96bdddbc6265e55cb79c61857365f9d172fd8

Model

alexgenovese/upscaler:ba013279

ID

mncjsdtbgpze7stztaydzilf6q

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

1m 41s

Created

over 1 year ago

Input

scale: 4
version: v1.4
image_url

{
  "scale": 4,
  "version": "v1.4",
  "image_url": "https://replicate.delivery/pbxt/JayDTo0LQEnVucULKFJh9WpzRoOFHWwf0Ixx5aaoGrNA8dWH/6.jpeg"
}

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

const output = await replicate.run(
  "alexgenovese/upscaler:ba0132791dea9f3a80b18a9c04e96bdddbc6265e55cb79c61857365f9d172fd8",
  {
    input: {
      scale: 4,
      version: "v1.4",
      image_url: "https://replicate.delivery/pbxt/JayDTo0LQEnVucULKFJh9WpzRoOFHWwf0Ixx5aaoGrNA8dWH/6.jpeg"
    }
  }
);

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

output = replicate.run(
    "alexgenovese/upscaler:ba0132791dea9f3a80b18a9c04e96bdddbc6265e55cb79c61857365f9d172fd8",
    input={
        "scale": 4,
        "version": "v1.4",
        "image_url": "https://replicate.delivery/pbxt/JayDTo0LQEnVucULKFJh9WpzRoOFHWwf0Ixx5aaoGrNA8dWH/6.jpeg"
    }
)
print(output)

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

Run alexgenovese/upscaler 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": "alexgenovese/upscaler:ba0132791dea9f3a80b18a9c04e96bdddbc6265e55cb79c61857365f9d172fd8",
    "input": {
      "scale": 4,
      "version": "v1.4",
      "image_url": "https://replicate.delivery/pbxt/JayDTo0LQEnVucULKFJh9WpzRoOFHWwf0Ixx5aaoGrNA8dWH/6.jpeg"
    }
  }' \
  https://api.replicate.com/v1/predictions

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