yuni-eng/image-to-color – Run with an API on Replicate

yuni-eng / image-to-color

Generate color codes for prominent colors in the image

Cold

Public
159 runs
L40S
Paper

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=yuni-eng/image-to-color

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 yuni-eng/image-to-color using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "yuni-eng/image-to-color:517ab164521b1a5b14967b8d1bd858ff6906460cb1036d57e17c20f02feeb64c",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JzbMTxR6X9mYQZVRmFibmbmfu7VYlCazQ1dZ7b7ppEQyjpo6/panda-cyborg.png",
      question: "Describe this picture"
    }
  }
);

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 yuni-eng/image-to-color using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "yuni-eng/image-to-color:517ab164521b1a5b14967b8d1bd858ff6906460cb1036d57e17c20f02feeb64c",
    input={
        "image": "https://replicate.delivery/pbxt/JzbMTxR6X9mYQZVRmFibmbmfu7VYlCazQ1dZ7b7ppEQyjpo6/panda-cyborg.png",
        "question": "Describe this picture"
    }
)
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 yuni-eng/image-to-color 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": "517ab164521b1a5b14967b8d1bd858ff6906460cb1036d57e17c20f02feeb64c",
    "input": {
      "image": "https://replicate.delivery/pbxt/JzbMTxR6X9mYQZVRmFibmbmfu7VYlCazQ1dZ7b7ppEQyjpo6/panda-cyborg.png",
      "question": "Describe this picture"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

a panda bear in a futuristic setting Dominant colors in the image: #db9229 #868870 #3b7a88 #a06130 #585747 #14151a #233c45 #e9ebe5 #a5b9b7 #e7cb65

Generated in

7.3 seconds

Tweak it Report

Run time and cost

This model costs approximately $0.18 to run on Replicate, or 5 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 4 minutes. The predict time for this model varies significantly based on the inputs.

Readme

Given an input image,

1) ask questions about the image. Analyze key objects and details about the image 2) generate hex color codes that can be used as inspiration for designers.