clsandoval/magi-cleaner – Run with an API on Replicate

clsandoval / magi-cleaner

Clean Text from Manhwa/Manhua

Cold

Public
8 runs
T4

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=clsandoval/magi-cleaner

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 clsandoval/magi-cleaner using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "clsandoval/magi-cleaner:849ebb56f2ff68b925c64e68e0be6aa261e2a90d1d700c600264a1bae8cfce88",
  {
    input: {
      fill: "white",
      image_path: "https://replicate.delivery/pbxt/LxuEZnZURckPi3qFHh8bMQNr5eNTJjOBc86vg4fSSQiMQOka/32.jpg"
    }
  }
);

// 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 clsandoval/magi-cleaner using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "clsandoval/magi-cleaner:849ebb56f2ff68b925c64e68e0be6aa261e2a90d1d700c600264a1bae8cfce88",
    input={
        "fill": "white",
        "image_path": "https://replicate.delivery/pbxt/LxuEZnZURckPi3qFHh8bMQNr5eNTJjOBc86vg4fSSQiMQOka/32.jpg"
    }
)
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 clsandoval/magi-cleaner 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": "clsandoval/magi-cleaner:849ebb56f2ff68b925c64e68e0be6aa261e2a90d1d700c600264a1bae8cfce88",
    "input": {
      "fill": "white",
      "image_path": "https://replicate.delivery/pbxt/LxuEZnZURckPi3qFHh8bMQNr5eNTJjOBc86vg4fSSQiMQOka/32.jpg"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

0.8 seconds

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Examples

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Run time and cost

This model runs on Nvidia T4 GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

This model doesn't have a readme.