daanelson/real-esrgan-a100 | Run with an API on Replicate

daanelson / real-esrgan-a100

Real-ESRGAN for image upscaling on an A100 (Updated 10 months, 4 weeks ago)

Warm

Public
14.1M runs
A100 (80GB)
GitHub
License

Iterate in playground

Run with an API

Playground API Examples README Versions

Input

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

npx create-replicate --model=daanelson/real-esrgan-a100

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";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run daanelson/real-esrgan-a100 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "daanelson/real-esrgan-a100:f94d7ed4a1f7e1ffed0d51e4089e4911609d5eeee5e874ef323d2c7562624bed",
  {
    input: {
      image: "https://replicate.delivery/pbxt/IS6z50uYJFdFeh1vCmXe9zasYbG16HqOOMETljyUJ1hmlUXU/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

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 daanelson/real-esrgan-a100 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "daanelson/real-esrgan-a100:f94d7ed4a1f7e1ffed0d51e4089e4911609d5eeee5e874ef323d2c7562624bed",
    input={
        "image": "https://replicate.delivery/pbxt/IS6z50uYJFdFeh1vCmXe9zasYbG16HqOOMETljyUJ1hmlUXU/keanu.jpeg",
        "scale": 4,
        "face_enhance": True
    }
)
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 daanelson/real-esrgan-a100 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": "daanelson/real-esrgan-a100:f94d7ed4a1f7e1ffed0d51e4089e4911609d5eeee5e874ef323d2c7562624bed",
    "input": {
      "image": "https://replicate.delivery/pbxt/IS6z50uYJFdFeh1vCmXe9zasYbG16HqOOMETljyUJ1hmlUXU/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

1.9 seconds

Tweak itReport View full prediction

This output was created using a different version of the model, daanelson/real-esrgan-a100:49994060.

Examples

View more examples

Run time and cost

This model costs approximately $0.0035 to run on Replicate, or 285 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia A100 (80GB) GPU hardware. Predictions typically complete within 3 seconds.

Readme

Real-ESRGAN is a model for image upscaling; this version is forked from https://replicate.com/nightmareai/real-esrgan and configured to run on an A100.

Max recommended input image resolution is 1440p