mgonline2021/upsca – Run with an API on Replicate

mgonline2021 / upsca

Cold

Public
22 runs
L40S

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=mgonline2021/upsca

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 mgonline2021/upsca using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "mgonline2021/upsca:7f0e2ea25dba12b3500e3de736f29bfdb020d235547faa2dab1048f15bb859c1",
  {
    input: {
      scale: 4,
      face_enhance: true
    }
  }
);
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 mgonline2021/upsca using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "mgonline2021/upsca:7f0e2ea25dba12b3500e3de736f29bfdb020d235547faa2dab1048f15bb859c1",
    input={
        "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 mgonline2021/upsca 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": "7f0e2ea25dba12b3500e3de736f29bfdb020d235547faa2dab1048f15bb859c1",
    "input": {
      "scale": 4,
      "face_enhance": true
    }
  }' \
  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 mgonline2021/upsca using Cog (this will download the full model and run it in your local environment):

cog predict r8.im/mgonline2021/upsca@sha256:7f0e2ea25dba12b3500e3de736f29bfdb020d235547faa2dab1048f15bb859c1 \
  -i 'scale=4' \
  -i 'face_enhance=true'

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

Pull and run mgonline2021/upsca 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/mgonline2021/upsca@sha256:7f0e2ea25dba12b3500e3de736f29bfdb020d235547faa2dab1048f15bb859c1
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "scale": 4,
      "face_enhance": true
    }
  }' \
  http://localhost:5000/predictions

Output

No output yet! Press "Submit" to start a prediction.

Run time and cost

This model costs approximately $0.054 to run on Replicate, or 18 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 L40S GPU hardware. Predictions typically complete within 56 seconds. The predict time for this model varies significantly based on the inputs.

Readme

This model doesn't have a readme.