juergengunz/real-esrgan-v2:e4265d21 – Run with an API on Replicate

Version

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juergengunz /real-esrgan-v2:e4265d21

Playground API

Input

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

npx create-replicate --model=juergengunz/real-esrgan-v2

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";

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

Run juergengunz/real-esrgan-v2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "juergengunz/real-esrgan-v2:e4265d21c4770b339080060fab33e452d77b8ef3ee9781fec9cae81d1973a2cf",
  {
    input: {
      scale: 2,
      enhance_eyes: false,
      face_enhance: true,
      enhance_mouth: false
    }
  }
);
console.log(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 juergengunz/real-esrgan-v2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "juergengunz/real-esrgan-v2:e4265d21c4770b339080060fab33e452d77b8ef3ee9781fec9cae81d1973a2cf",
    input={
        "scale": 2,
        "enhance_eyes": False,
        "face_enhance": True,
        "enhance_mouth": False
    }
)
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 juergengunz/real-esrgan-v2 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": "e4265d21c4770b339080060fab33e452d77b8ef3ee9781fec9cae81d1973a2cf",
    "input": {
      "scale": 2,
      "enhance_eyes": false,
      "face_enhance": true,
      "enhance_mouth": false
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Install Cog

brew install cog

If you don’t have Homebrew, there are other installation options available.

Pull and run juergengunz/real-esrgan-v2 using Cog (this will download the full model and run it in your local environment):

cog predict r8.im/juergengunz/real-esrgan-v2@sha256:e4265d21c4770b339080060fab33e452d77b8ef3ee9781fec9cae81d1973a2cf \
  -i 'scale=2' \
  -i 'enhance_eyes=false' \
  -i 'face_enhance=true' \
  -i 'enhance_mouth=false'

To learn more, take a look at the Cog documentation.

Pull and run juergengunz/real-esrgan-v2 using Docker (this will download the full model and run it in your local environment):

docker run -d -p 5000:5000 --gpus=all r8.im/juergengunz/real-esrgan-v2@sha256:e4265d21c4770b339080060fab33e452d77b8ef3ee9781fec9cae81d1973a2cf
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "scale": 2,
      "enhance_eyes": false,
      "face_enhance": true,
      "enhance_mouth": false
    }
  }' \
  http://localhost:5000/predictions

Output

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