{
  "blur": 5,
  "image": "https://replicate.delivery/pbxt/J1sfRLwQpduwTZtdBV6o15BzrEpF7aAJl6FatWNX8vmX6otU/Namor%20dans%20Black%20Panther%20Wakanda%20Forever.jpeg"
}

Install Replicate’s Node.js client library:

npm install replicate

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 kharioki/blur-faces using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "kharioki/blur-faces:bdcc18be6a02a8f2efce1a3f7489f74a1d6729caea9b53061358fe75c93799d2",
  {
    input: {
      blur: 5,
      image: "https://replicate.delivery/pbxt/J1sfRLwQpduwTZtdBV6o15BzrEpF7aAJl6FatWNX8vmX6otU/Namor%20dans%20Black%20Panther%20Wakanda%20Forever.jpeg"
    }
  }
);

// 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 kharioki/blur-faces using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "kharioki/blur-faces:bdcc18be6a02a8f2efce1a3f7489f74a1d6729caea9b53061358fe75c93799d2",
    input={
        "blur": 5,
        "image": "https://replicate.delivery/pbxt/J1sfRLwQpduwTZtdBV6o15BzrEpF7aAJl6FatWNX8vmX6otU/Namor%20dans%20Black%20Panther%20Wakanda%20Forever.jpeg"
    }
)

# To access the file URL:
print(output.url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output.read())

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

Run kharioki/blur-faces 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": "kharioki/blur-faces:bdcc18be6a02a8f2efce1a3f7489f74a1d6729caea9b53061358fe75c93799d2",
    "input": {
      "blur": 5,
      "image": "https://replicate.delivery/pbxt/J1sfRLwQpduwTZtdBV6o15BzrEpF7aAJl6FatWNX8vmX6otU/Namor%20dans%20Black%20Panther%20Wakanda%20Forever.jpeg"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

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

Run this to download the model and run it in your local environment:

cog predict r8.im/kharioki/blur-faces@sha256:bdcc18be6a02a8f2efce1a3f7489f74a1d6729caea9b53061358fe75c93799d2 \
  -i 'blur=5' \
  -i 'image="https://replicate.delivery/pbxt/J1sfRLwQpduwTZtdBV6o15BzrEpF7aAJl6FatWNX8vmX6otU/Namor%20dans%20Black%20Panther%20Wakanda%20Forever.jpeg"'

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

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 r8.im/kharioki/blur-faces@sha256:bdcc18be6a02a8f2efce1a3f7489f74a1d6729caea9b53061358fe75c93799d2
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "blur": 5,
      "image": "https://replicate.delivery/pbxt/J1sfRLwQpduwTZtdBV6o15BzrEpF7aAJl6FatWNX8vmX6otU/Namor%20dans%20Black%20Panther%20Wakanda%20Forever.jpeg"
    }
  }' \
  http://localhost:5000/predictions

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

Output

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