Prediction

clsandoval/magi-cleaner:849ebb56f2ff68b925c64e68e0be6aa261e2a90d1d700c600264a1bae8cfce88

Model

clsandoval/magi-cleaner:849ebb56

ID

8jgs3harbxrge0ck4p8s3zh70r

Status

Succeeded

Source

Web

Hardware

T4

Total duration

0.8s

Created

6 months ago

Input

fill: white
image_path

{
  "fill": "white",
  "image_path": "https://replicate.delivery/pbxt/LxuEZnZURckPi3qFHh8bMQNr5eNTJjOBc86vg4fSSQiMQOka/32.jpg"
}

Install Replicate’s Node.js client library:

npm install replicate

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

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.

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

Tweak it ShareReport

Prediction

clsandoval/magi-cleaner:849ebb56f2ff68b925c64e68e0be6aa261e2a90d1d700c600264a1bae8cfce88

Model

clsandoval/magi-cleaner:849ebb56

ID

s439zhkdp5rg80ck4p8b9rbxa8

Status

Succeeded

Source

Web

Hardware

T4

Total duration

0.8s

Created

6 months ago

Input

fill: blur
image_path

{
  "fill": "blur",
  "image_path": "https://replicate.delivery/pbxt/LxuDci5d9bn37TJ6JO836QZGxTJ8YC7ZMAbjmScTUnE91QMG/9.jpg"
}

Install Replicate’s Node.js client library:

npm install replicate

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: "blur",
      image_path: "https://replicate.delivery/pbxt/LxuDci5d9bn37TJ6JO836QZGxTJ8YC7ZMAbjmScTUnE91QMG/9.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

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": "blur",
        "image_path": "https://replicate.delivery/pbxt/LxuDci5d9bn37TJ6JO836QZGxTJ8YC7ZMAbjmScTUnE91QMG/9.jpg"
    }
)
print(output)

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

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": "blur",
      "image_path": "https://replicate.delivery/pbxt/LxuDci5d9bn37TJ6JO836QZGxTJ8YC7ZMAbjmScTUnE91QMG/9.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

Tweak it ShareReport

Prediction

clsandoval/magi-cleaner:849ebb56f2ff68b925c64e68e0be6aa261e2a90d1d700c600264a1bae8cfce88

Model

clsandoval/magi-cleaner:849ebb56

ID

pym4be5xm9rg80ck4p7vd69fa4

Status

Succeeded

Source

Web

Hardware

T4

Total duration

20.7s

Created

6 months ago

Input

fill: white
image_path

{
  "fill": "white",
  "image_path": "https://replicate.delivery/pbxt/LxuCv6Y8rhouzMh9h0iEzJA6L0YA8GvRJpT8nRYkWRGlpn8x/4.jpg"
}

Install Replicate’s Node.js client library:

npm install replicate

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/LxuCv6Y8rhouzMh9h0iEzJA6L0YA8GvRJpT8nRYkWRGlpn8x/4.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

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/LxuCv6Y8rhouzMh9h0iEzJA6L0YA8GvRJpT8nRYkWRGlpn8x/4.jpg"
    }
)
print(output)

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

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/LxuCv6Y8rhouzMh9h0iEzJA6L0YA8GvRJpT8nRYkWRGlpn8x/4.jpg"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

1.4 seconds

Tweak it ShareReport

clsandoval / magi-cleaner

Prediction

Input

Output

Prediction

Input

Output

Prediction

Input

Output

Logs (8jgs3harbxrge0ck4p8s3zh70r)

Logs (s439zhkdp5rg80ck4p8b9rbxa8)

Logs (pym4be5xm9rg80ck4p7vd69fa4)