anotherjesse / real-esrgan-a40

(Updated 1 year, 10 months ago)

Cold

Public
215.3K runs
L40S

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Prediction

anotherjesse/real-esrgan-a40:c966e6e867e53e4a5fe11f6c73d9f7a71d30b709814a37ccc373825bfb4c7c8a

Model

anotherjesse/real-esrgan-a40:c966e6e8

kp6lhjdba6xiiyrcru5t7l7s4e

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

3.0s

Created

almost 2 years ago

Input

image
scale: 4
face_enhance

{
  "image": "https://replicate.delivery/pbxt/JM6ZAcEVtcieXxez7qCZG8E4pnq7wGH1YX7YgJH9F5sTpsFc/keanu.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 anotherjesse/real-esrgan-a40 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "anotherjesse/real-esrgan-a40:c966e6e867e53e4a5fe11f6c73d9f7a71d30b709814a37ccc373825bfb4c7c8a",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JM6ZAcEVtcieXxez7qCZG8E4pnq7wGH1YX7YgJH9F5sTpsFc/keanu.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 anotherjesse/real-esrgan-a40 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "anotherjesse/real-esrgan-a40:c966e6e867e53e4a5fe11f6c73d9f7a71d30b709814a37ccc373825bfb4c7c8a",
    input={
        "image": "https://replicate.delivery/pbxt/JM6ZAcEVtcieXxez7qCZG8E4pnq7wGH1YX7YgJH9F5sTpsFc/keanu.jpeg",
        "scale": 4,
        "face_enhance": True
    }
)
print(output)

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

Run anotherjesse/real-esrgan-a40 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": "anotherjesse/real-esrgan-a40:c966e6e867e53e4a5fe11f6c73d9f7a71d30b709814a37ccc373825bfb4c7c8a",
    "input": {
      "image": "https://replicate.delivery/pbxt/JM6ZAcEVtcieXxez7qCZG8E4pnq7wGH1YX7YgJH9F5sTpsFc/keanu.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

3.0 seconds

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