Prediction

Model

piddnad/ddcolor:ca494ba1

pkxytzdbkuach644xwzyouk5fu

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

3.0s

Created

almost 2 years ago

Webhook

–

Input

image: https://replicate.delivery/pbxt/KDMkjS4SpsGieAxMdkBUNWT5zFI8BvAU4XjiyI2xmLny3skZ/Buffalo%20Bank%20Buffalo%2C%20New%20York%2C%20circa%201908.%20Erie%20County%20Savings%20Bank%2C%20Niagara%20Street.jpg
model_size: large

{
  "image": "https://replicate.delivery/pbxt/KDMkjS4SpsGieAxMdkBUNWT5zFI8BvAU4XjiyI2xmLny3skZ/Buffalo%20Bank%20Buffalo%2C%20New%20York%2C%20circa%201908.%20Erie%20County%20Savings%20Bank%2C%20Niagara%20Street.jpg",
  "model_size": "large"
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_3gZ**********************************

This is your API token. Keep it to yourself.

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

const output = await replicate.run(
  "piddnad/ddcolor:ca494ba129e44e45f661d6ece83c4c98a9a7c774309beca01429b58fce8aa695",
  {
    input: {
      image: "https://replicate.delivery/pbxt/KDMkjS4SpsGieAxMdkBUNWT5zFI8BvAU4XjiyI2xmLny3skZ/Buffalo%20Bank%20Buffalo%2C%20New%20York%2C%20circa%201908.%20Erie%20County%20Savings%20Bank%2C%20Niagara%20Street.jpg",
      model_size: "large"
    }
  }
);

// 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=r8_3gZ**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

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

output = replicate.run(
    "piddnad/ddcolor:ca494ba129e44e45f661d6ece83c4c98a9a7c774309beca01429b58fce8aa695",
    input={
        "image": "https://replicate.delivery/pbxt/KDMkjS4SpsGieAxMdkBUNWT5zFI8BvAU4XjiyI2xmLny3skZ/Buffalo%20Bank%20Buffalo%2C%20New%20York%2C%20circa%201908.%20Erie%20County%20Savings%20Bank%2C%20Niagara%20Street.jpg",
        "model_size": "large"
    }
)

# 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.

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_3gZ**********************************

This is your API token. Keep it to yourself.

Run piddnad/ddcolor 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": "piddnad/ddcolor:ca494ba129e44e45f661d6ece83c4c98a9a7c774309beca01429b58fce8aa695",
    "input": {
      "image": "https://replicate.delivery/pbxt/KDMkjS4SpsGieAxMdkBUNWT5zFI8BvAU4XjiyI2xmLny3skZ/Buffalo%20Bank%20Buffalo%2C%20New%20York%2C%20circa%201908.%20Erie%20County%20Savings%20Bank%2C%20Niagara%20Street.jpg",
      "model_size": "large"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

2.9 seconds

Tweak it Report