lucataco/rgb2grayscale-cuda – Run with an API on Replicate

lucataco / rgb2grayscale-cuda

CUDA implementation of an rgb2grayscale function

Cold

Public
118 runs
T4
GitHub

Iterate in the playground

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=lucataco/rgb2grayscale-cuda

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 lucataco/rgb2grayscale-cuda using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/rgb2grayscale-cuda:be024f18c73e4c5dbfada1343c157a0ec3c2b919ba26fdcc59e03abfae8f1c4e",
  {
    input: {
      image: "https://replicate.delivery/pbxt/KRO2UCFBOnSbIq1mFlCW2Al3EWrjXhbTP1V37o14odThozA5/puppy.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 lucataco/rgb2grayscale-cuda using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/rgb2grayscale-cuda:be024f18c73e4c5dbfada1343c157a0ec3c2b919ba26fdcc59e03abfae8f1c4e",
    input={
        "image": "https://replicate.delivery/pbxt/KRO2UCFBOnSbIq1mFlCW2Al3EWrjXhbTP1V37o14odThozA5/puppy.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 lucataco/rgb2grayscale-cuda 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": "lucataco/rgb2grayscale-cuda:be024f18c73e4c5dbfada1343c157a0ec3c2b919ba26fdcc59e03abfae8f1c4e",
    "input": {
      "image": "https://replicate.delivery/pbxt/KRO2UCFBOnSbIq1mFlCW2Al3EWrjXhbTP1V37o14odThozA5/puppy.jpg"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

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Examples

View more examples

Run time and cost

This model costs approximately $0.023 to run on Replicate, or 43 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 T4 GPU hardware. Predictions typically complete within 104 seconds. The predict time for this model varies significantly based on the inputs.

Readme

Proof of concept Cog wrapper for a CUDA implementation of an rgb2grayscale function

Original code from the following google colab by Jeremy Howard